GoogleCloudPlatform/PerfKitBenchmarker
Nov 2024 – Feb 2026
15 Months active
Languages Used
PythonSQL
Technical Skills
Cloud PricingData EngineeringCloud ComputingConfiguration ManagementCost ManagementDataproc
Diego Orellana
PROFILE
Diego Orellana
Over 15 months, Odiego contributed to GoogleCloudPlatform/PerfKitBenchmarker by developing and refining cloud benchmarking features focused on cost accuracy, configurability, and performance insights. He engineered updates to Dataproc Serverless pricing logic, integrating region-specific cost models and aligning shuffle storage calculations with evolving billing cycles. Leveraging Python and SQL, Odiego expanded support for Spark SQL, Delta Lake, and ICEBERG, introducing new benchmarks and configuration options to simulate realistic data workloads. His work included enhancements for debugging, such as Spark SQL job annotation, and improvements to test reliability and error handling. These contributions deepened the tool’s analytical capabilities and operational robustness.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
62Total
Bugs
11
Commits
62
Features
28
Lines of code
6,848
Activity Months15
Your Network
4184 people
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker: Focused on cost transparency and debugging observability. Delivered key features across two domains: Dataproc Serverless Pricing Update across regions (adjusting cost per milli-DCU second and shuffle storage to new tiers; commit 8f469658c4b860bd363b985ecd4482baf3316a55) and Spark SQL Job Annotation and Query Tracking to add per-query IDs for debugging in Spark UI (commit d4c253e0ee3fdc5672041d786938641af5606b72). No major bugs fixed this month. Business impact: improved cross-region cost accuracy and faster root-cause analysis via enhanced Spark SQL traceability, enabling more reliable usage-based billing and performance insights.
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker: Focused on cost transparency and debugging observability. Delivered key features across two domains: Dataproc Serverless Pricing Update across regions (adjusting cost per milli-DCU second and shuffle storage to new tiers; commit 8f469658c4b860bd363b985ecd4482baf3316a55) and Spark SQL Job Annotation and Query Tracking to add per-query IDs for debugging in Spark UI (commit d4c253e0ee3fdc5672041d786938641af5606b72). No major bugs fixed this month. Business impact: improved cross-region cost accuracy and faster root-cause analysis via enhanced Spark SQL traceability, enabling more reliable usage-based billing and performance insights.
February 2026
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 (Month: 2025-12) - GoogleCloudPlatform/PerfKitBenchmarker: This month focused on aligning cost modeling with the December 2025 pricing and expanding benchmarking versatility. Key accomplishments include (1) Dataproc Serverless Pricing Update across regions to reflect December 2025 storage and compute costs, and (2) ICEBERG support in Dataproc configuration as an optional component to improve benchmarking flexibility and data processing compatibility. No major bugs were reported this month. Overall impact: improved cost accuracy and broader benchmarking scenarios, enabling teams to simulate realistic workloads while staying aligned with current pricing. Technologies demonstrated: pricing modeling across regions, Dataproc configuration enhancements, ICEBERG integration, and commit-driven traceability.
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 (Month: 2025-12) - GoogleCloudPlatform/PerfKitBenchmarker: This month focused on aligning cost modeling with the December 2025 pricing and expanding benchmarking versatility. Key accomplishments include (1) Dataproc Serverless Pricing Update across regions to reflect December 2025 storage and compute costs, and (2) ICEBERG support in Dataproc configuration as an optional component to improve benchmarking flexibility and data processing compatibility. No major bugs were reported this month. Overall impact: improved cost accuracy and broader benchmarking scenarios, enabling teams to simulate realistic workloads while staying aligned with current pricing. Technologies demonstrated: pricing modeling across regions, Dataproc configuration enhancements, ICEBERG integration, and commit-driven traceability.
November 2025
7 Commits • 3 Features
Nov 1, 2025November 2025 — Strengthened PerfKitBenchmarker with major benchmarking and billing improvements, alongside targeted bug fixes. Delivered comprehensive enhancements to the benchmarking suite (BigQuery, Spark SQL, EDW), expanded Snowflake token injection capabilities, updated Dataproc Serverless pricing, and resolved a critical error handling bug to improve reliability. These changes improve benchmarking fidelity, cost accuracy, and user trust, enabling more actionable performance insights for customers and engineering teams.
7 Commits • 3 Features
Nov 1, 2025November 2025 — Strengthened PerfKitBenchmarker with major benchmarking and billing improvements, alongside targeted bug fixes. Delivered comprehensive enhancements to the benchmarking suite (BigQuery, Spark SQL, EDW), expanded Snowflake token injection capabilities, updated Dataproc Serverless pricing, and resolved a critical error handling bug to improve reliability. These changes improve benchmarking fidelity, cost accuracy, and user trust, enabling more actionable performance insights for customers and engineering teams.
November 2025
October 2025
5 Commits • 4 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on business value and technical excellence across PerfKitBenchmarker. Delivered pricing updates for Dataproc Serverless, storage option expansion, engine support, Spark modernization, and reliability improvements for BigQuery ingestion, driving cost accuracy, scalability, and stability.
October 2025
5 Commits • 4 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on business value and technical excellence across PerfKitBenchmarker. Delivered pricing updates for Dataproc Serverless, storage option expansion, engine support, Spark modernization, and reliability improvements for BigQuery ingestion, driving cost accuracy, scalability, and stability.
September 2025
18 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focusing on business value and technical accomplishments. Highlights include delivered features and benchmarking improvements, targeted stability gains, and tooling updates that enable more flexible, cost-aware performance analysis across EDW, BigQuery/EDW, and Snowflake benchmarking scenarios.
18 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focusing on business value and technical accomplishments. Highlights include delivered features and benchmarking improvements, targeted stability gains, and tooling updates that enable more flexible, cost-aware performance analysis across EDW, BigQuery/EDW, and Snowflake benchmarking scenarios.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker: Implemented two core benchmark improvements that enhance reliability and coverage for Spark SQL workloads. - Spark SQL Benchmark ANSI Mode Compatibility Fix: Disabled ANSI SQL in the dpb_sparksql_benchmark by setting spark.sql.ansi.enabled to false to ensure compatibility with non-ANSI compliant queries and to align with newer Spark versions, reducing benchmark execution errors. Commit: 7d8d27122084583fbb5f1198ef833185b1ec60f4. - Delta Lake DML Benchmark for Spark SQL: Added a new Spark SQL DML benchmark that uses Delta Lake, updated DpbConstants and benchmark configuration to support Delta Lake, and included a script to create, update, and delete data in a Delta Lake table to measure DML performance. Commit: 0f9430e6d56d4f2728f9db76675130eb35ecf27f. Overall impact: Expanded benchmark coverage to Delta Lake DML workloads and improved reliability of Spark SQL benchmarks, enabling more realistic performance insights and repeatable measurements. This supports better capacity planning and optimization for Spark-based data pipelines. Technologies/skills demonstrated: Spark SQL benchmarking, ANSI mode configuration, Delta Lake integration, benchmark configuration management, end-to-end scripting for DML workloads.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker: Implemented two core benchmark improvements that enhance reliability and coverage for Spark SQL workloads. - Spark SQL Benchmark ANSI Mode Compatibility Fix: Disabled ANSI SQL in the dpb_sparksql_benchmark by setting spark.sql.ansi.enabled to false to ensure compatibility with non-ANSI compliant queries and to align with newer Spark versions, reducing benchmark execution errors. Commit: 7d8d27122084583fbb5f1198ef833185b1ec60f4. - Delta Lake DML Benchmark for Spark SQL: Added a new Spark SQL DML benchmark that uses Delta Lake, updated DpbConstants and benchmark configuration to support Delta Lake, and included a script to create, update, and delete data in a Delta Lake table to measure DML performance. Commit: 0f9430e6d56d4f2728f9db76675130eb35ecf27f. Overall impact: Expanded benchmark coverage to Delta Lake DML workloads and improved reliability of Spark SQL benchmarks, enabling more realistic performance insights and repeatable measurements. This supports better capacity planning and optimization for Spark-based data pipelines. Technologies/skills demonstrated: Spark SQL benchmarking, ANSI mode configuration, Delta Lake integration, benchmark configuration management, end-to-end scripting for DML workloads.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary: Focused delivery on Dataproc DPB enhancements and billing accuracy improvements in PerfKitBenchmarker. Delivered targeted fixes and feature work to improve cost accuracy, security, and configurability for cloud Dataproc benchmarks, enabling more reliable cost reporting and broader testing scenarios. Notable outcomes include a corrected Dataproc Serverless pricing calculation and the introduction of Premium tier support for Dataproc GCE clusters with additional jar loading and mandatory service accounts.
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary: Focused delivery on Dataproc DPB enhancements and billing accuracy improvements in PerfKitBenchmarker. Delivered targeted fixes and feature work to improve cost accuracy, security, and configurability for cloud Dataproc benchmarks, enabling more reliable cost reporting and broader testing scenarios. Notable outcomes include a corrected Dataproc Serverless pricing calculation and the introduction of Premium tier support for Dataproc GCE clusters with additional jar loading and mandatory service accounts.
July 2025
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focused on cost estimation accuracy for Dataproc Serverless. Delivered a critical bug fix that aligns shuffle storage cost calculations with a 720-hour monthly calendar, improving accuracy of monthly cost estimates across regions and pricing tiers.
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focused on cost estimation accuracy for Dataproc Serverless. Delivered a critical bug fix that aligns shuffle storage cost calculations with a 720-hour monthly calendar, improving accuracy of monthly cost estimates across regions and pricing tiers.
May 2025
4 Commits • 3 Features
May 1, 2025Month: 2025-05 — This period delivered targeted improvements in cost accuracy, configurability, and benchmarking reliability for PerfKitBenchmarker (GoogleCloudPlatform/PerfKitBenchmarker). The work emphasizes business value by tightening pricing accuracy for serverless Dataproc workloads, expanding cluster configuration options, and hardening test stability across Dataproc and EMR. Key deliverables: - Dataproc Serverless pricing data update for May 2025 across GCP regions to reflect a more accurate monthly hours divisor, improving billing cost estimations for Serverless workloads. - Iceberg-defaults support for EMR clusters via PerfKitBenchmarker, enabling users to specify custom Iceberg configurations when launching EMR clusters. - Spark BigQuery Connector version/URL flags for Dataproc clusters, with propagation into cluster metadata and job properties; tests updated accordingly. - DPB testdfsio_benchmark robustness fixes for Dataproc and EMR, addressing readahead flag interactions, selective node preparation, and result parsing when throughput is not found.
4 Commits • 3 Features
May 1, 2025Month: 2025-05 — This period delivered targeted improvements in cost accuracy, configurability, and benchmarking reliability for PerfKitBenchmarker (GoogleCloudPlatform/PerfKitBenchmarker). The work emphasizes business value by tightening pricing accuracy for serverless Dataproc workloads, expanding cluster configuration options, and hardening test stability across Dataproc and EMR. Key deliverables: - Dataproc Serverless pricing data update for May 2025 across GCP regions to reflect a more accurate monthly hours divisor, improving billing cost estimations for Serverless workloads. - Iceberg-defaults support for EMR clusters via PerfKitBenchmarker, enabling users to specify custom Iceberg configurations when launching EMR clusters. - Spark BigQuery Connector version/URL flags for Dataproc clusters, with propagation into cluster metadata and job properties; tests updated accordingly. - DPB testdfsio_benchmark robustness fixes for Dataproc and EMR, addressing readahead flag interactions, selective node preparation, and result parsing when throughput is not found.
May 2025
April 2025
1 Commits
Apr 1, 2025April 2025: Delivered critical pricing accuracy improvements for Dataproc Serverless in PerfKitBenchmarker, enabling reliable cost estimates across regions and configurations. Implemented a pricing data correction and validated across multiple regions/machine types, reducing potential billing discrepancies and improving financial forecasting for cloud workloads.
April 2025
1 Commits
Apr 1, 2025April 2025: Delivered critical pricing accuracy improvements for Dataproc Serverless in PerfKitBenchmarker, enabling reliable cost estimates across regions and configurations. Implemented a pricing data correction and validated across multiple regions/machine types, reducing potential billing discrepancies and improving financial forecasting for cloud workloads.
March 2025
6 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focusing on performance improvements, cost transparency, reliability, and observability across cloud data services.
6 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focusing on performance improvements, cost transparency, reliability, and observability across cloud data services.
March 2025
February 2025
1 Commits
Feb 1, 2025February 2025 summary for GoogleCloudPlatform/PerfKitBenchmarker: Key deliverable focused on pricing data accuracy for Dataproc Serverless. Dataproc Serverless pricing data (usd_per_shuffle_storage_gb_sec) updated across regions and machine types to reflect new rates, ensuring accurate cost estimations in performance benchmarking. Impact includes improved cost visibility and reliability of benchmark results, recorded in a single focused commit. Technologies demonstrated include pricing data modeling, cross-region data maintenance, and version-controlled data updates.
February 2025
1 Commits
Feb 1, 2025February 2025 summary for GoogleCloudPlatform/PerfKitBenchmarker: Key deliverable focused on pricing data accuracy for Dataproc Serverless. Dataproc Serverless pricing data (usd_per_shuffle_storage_gb_sec) updated across regions and machine types to reflect new rates, ensuring accurate cost estimations in performance benchmarking. Impact includes improved cost visibility and reliability of benchmark results, recorded in a single focused commit. Technologies demonstrated include pricing data modeling, cross-region data maintenance, and version-controlled data updates.
January 2025
6 Commits • 3 Features
Jan 1, 2025January 2025 monthly summary for PerfKitBenchmarker (GoogleCloudPlatform). Focus: deliver features for serverless benchmarking, fix critical provisioning issues, and improve performance and reliability. Key outcomes: renamed Dataproc Serverless default name, Spark SQL runner metadata overhaul with in-runner query bundling, log-based timing parsing for serverless DPB, and improved AWS EMR provisioning error handling. Impact: more accurate benchmarks, faster data retrieval, and higher resilience to intermittent failures. Technologies demonstrated: Python, PySpark, HCFS, BigQuery, DPB, AWS EMR.
6 Commits • 3 Features
Jan 1, 2025January 2025 monthly summary for PerfKitBenchmarker (GoogleCloudPlatform). Focus: deliver features for serverless benchmarking, fix critical provisioning issues, and improve performance and reliability. Key outcomes: renamed Dataproc Serverless default name, Spark SQL runner metadata overhaul with in-runner query bundling, log-based timing parsing for serverless DPB, and improved AWS EMR provisioning error handling. Impact: more accurate benchmarks, faster data retrieval, and higher resilience to intermittent failures. Technologies demonstrated: Python, PySpark, HCFS, BigQuery, DPB, AWS EMR.
January 2025
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focused on Dataproc Serverless improvements and test stabilization. Delivered two high-impact features, enhanced test reliability, and reinforced business value through accurate cost modeling and expanded runtime options.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for GoogleCloudPlatform/PerfKitBenchmarker focused on Dataproc Serverless improvements and test stabilization. Delivered two high-impact features, enhanced test reliability, and reinforced business value through accurate cost modeling and expanded runtime options.
November 2024
1 Commits
Nov 1, 2024Month 2024-11: Focused on delivering a critical pricing accuracy improvement for Dataproc Serverless in PerfKitBenchmarker. Implemented a normalization fix that corrects the monthly pricing calculation for shuffle storage by switching the denominator from 744 to 721 across regions and tiers, and updated usd_per_shuffle_storage_gb_sec to reflect accurate cost estimates. This work was enacted via a targeted code change in the PerfKitBenchmarker repository (commit 693fb1af7b868c925be92548ebf285d9e078f071).
1 Commits
Nov 1, 2024Month 2024-11: Focused on delivering a critical pricing accuracy improvement for Dataproc Serverless in PerfKitBenchmarker. Implemented a normalization fix that corrects the monthly pricing calculation for shuffle storage by switching the denominator from 744 to 721 across regions and tiers, and updated usd_per_shuffle_storage_gb_sec to reflect accurate cost estimates. This work was enacted via a targeted code change in the PerfKitBenchmarker repository (commit 693fb1af7b868c925be92548ebf285d9e078f071).
November 2024
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Quality Metrics
Correctness90.2%
Maintainability88.2%
Architecture88.0%
Performance82.2%
AI Usage20.4%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API IntegrationAWSBackend DevelopmentBenchmark DevelopmentBenchmarkingBig DataBigQueryCloudCloud BenchmarkingCloud ComputingCloud PlatformsCloud PricingCloud ServicesCode OrganizationConcurrency
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