Planning-Inspectorate/odw-synapse-workspace
Jul 2025 – Apr 2026
7 Months active
Languages Used
PythonSQLJSON
Technical Skills
Data AnalysisData EngineeringETLNotebook DevelopmentPipeline ManagementSQL
BandlamudiNaveen
PROFILE
Bandlamudinaveen
Over seven months, this developer enhanced data governance, processing, and analytics within the Planning-Inspectorate/odw-synapse-workspace repository. They delivered features such as metadata updates, notebook-based ETL improvements, and configuration upgrades to support appeals management and expedite data workflows. Their work involved refining SQL queries, optimizing Spark memory and auto-scaling, and managing JSON configurations to improve data quality, traceability, and processing speed. By focusing on robust pipeline management and notebook development using Python, SQL, and Spark, they reduced manual corrections and improved reporting reliability. Their disciplined, source-controlled approach ensured reproducible, maintainable solutions aligned with evolving data engineering and analytics requirements.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
9
Lines of code
448
Activity Months7
Your Network
68 peopleSame Organization
@planninginspectorate.gov.uk49
Work History
April 2026
3 Commits • 2 Features
Apr 1, 2026Month: 2026-04 Overview: This period focused on stabilizing and accelerating appeals processing in Planning-Inspectorate/odw-synapse-workspace by upgrading configuration, refining data structures, and enhancing notebook-based processing pipelines. The work yields clearer data handling, improved throughput, and more reliable outcomes for discontinuance and expedited appeals workloads. Key features delivered: - Discontinuance Appeals Configuration Upgrade: Updated JSON configurations with tracking ID updates and refined appeal data structure to improve data handling and processing. - Expedited Appeals Processing Notebook Enhancements: Introduced schema creation and memory tuning for Spark jobs; updated appeal_s78_curated_mipins with SQL/query improvements and metadata to boost efficiency and accuracy. Major bugs fixed: - Fixed boolean value case in JSON configuration to ensure correct parsing and downstream processing. Overall impact and accomplishments: - Improved data quality and consistency for discontinuance appeals; enhanced processing speed and reliability for expedited appeals through Spark schema and memory tuning; better data lineage and processing accuracy via refined notebooks and metadata. - Supported larger workloads with optimized memory settings and scalable notebook pipelines, reducing end-to-end processing time and enabling faster business decisions. Technologies/skills demonstrated: - JSON configuration management, Python notebooks, Spark schema creation, memory tuning and auto-scaling, SQL/query optimization, data structure design, and metadata augmentation. - End-to-end workflow improvements from configuration to notebook-based processing, aligning technical work with business outcomes.
3 Commits • 2 Features
Apr 1, 2026Month: 2026-04 Overview: This period focused on stabilizing and accelerating appeals processing in Planning-Inspectorate/odw-synapse-workspace by upgrading configuration, refining data structures, and enhancing notebook-based processing pipelines. The work yields clearer data handling, improved throughput, and more reliable outcomes for discontinuance and expedited appeals workloads. Key features delivered: - Discontinuance Appeals Configuration Upgrade: Updated JSON configurations with tracking ID updates and refined appeal data structure to improve data handling and processing. - Expedited Appeals Processing Notebook Enhancements: Introduced schema creation and memory tuning for Spark jobs; updated appeal_s78_curated_mipins with SQL/query improvements and metadata to boost efficiency and accuracy. Major bugs fixed: - Fixed boolean value case in JSON configuration to ensure correct parsing and downstream processing. Overall impact and accomplishments: - Improved data quality and consistency for discontinuance appeals; enhanced processing speed and reliability for expedited appeals through Spark schema and memory tuning; better data lineage and processing accuracy via refined notebooks and metadata. - Supported larger workloads with optimized memory settings and scalable notebook pipelines, reducing end-to-end processing time and enabling faster business decisions. Technologies/skills demonstrated: - JSON configuration management, Python notebooks, Spark schema creation, memory tuning and auto-scaling, SQL/query optimization, data structure design, and metadata augmentation. - End-to-end workflow improvements from configuration to notebook-based processing, aligning technical work with business outcomes.
April 2026
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 Monthly Summary for Planning-Inspectorate/odw-synapse-workspace: Delivered enhancements to discontinuance notice appeals processing, updated schema definitions and configuration, added new fields to appeal notebooks to improve tracking and management, and performed targeted performance tuning (memory and auto-scaling) to optimize notebook workloads. Aligned Spark environment (version and settings) to improve stability and throughput.
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 Monthly Summary for Planning-Inspectorate/odw-synapse-workspace: Delivered enhancements to discontinuance notice appeals processing, updated schema definitions and configuration, added new fields to appeal notebooks to improve tracking and management, and performed targeted performance tuning (memory and auto-scaling) to optimize notebook workloads. Aligned Spark environment (version and settings) to improve stability and throughput.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on delivering data-driven autotuning improvements and maintaining robust data pipelines.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on delivering data-driven autotuning improvements and maintaining robust data pipelines.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace. Key features delivered: MI Pins Data Flow Enhancement, introducing new group B attributes for full adverts to improve data detail and processing accuracy. Major bugs fixed: none reported this month. Overall impact and accomplishments: enhanced data fidelity for MI pins supports more accurate analytics, better campaign insights, and faster reporting cycles. Technologies/skills demonstrated: data modeling, notebook-based data pipelines, version control, and collaboration across data science and analytics teams. Business value: higher-quality data reduces manual corrections, improves decision-making, and accelerates time-to-insight.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace. Key features delivered: MI Pins Data Flow Enhancement, introducing new group B attributes for full adverts to improve data detail and processing accuracy. Major bugs fixed: none reported this month. Overall impact and accomplishments: enhanced data fidelity for MI pins supports more accurate analytics, better campaign insights, and faster reporting cycles. Technologies/skills demonstrated: data modeling, notebook-based data pipelines, version control, and collaboration across data science and analytics teams. Business value: higher-quality data reduces manual corrections, improves decision-making, and accelerates time-to-insight.
November 2025
2 Commits • 2 Features
Nov 1, 2025This month focused on delivering data-processing enhancements and stable data pipelines in Planning-Inspectorate/odw-synapse-workspace to improve data accuracy, filtering, and performance for appeals management. Key notebook updates and api-query improvements reduce data processing errors, increase traceability via tracking IDs, and strengthen downstream reporting reliability. No critical bugs were reported; the emphasis was on feature delivery, data quality, and maintainable notebook-based ETL.
2 Commits • 2 Features
Nov 1, 2025This month focused on delivering data-processing enhancements and stable data pipelines in Planning-Inspectorate/odw-synapse-workspace to improve data accuracy, filtering, and performance for appeals management. Key notebook updates and api-query improvements reduce data processing errors, increase traceability via tracking IDs, and strengthen downstream reporting reliability. No critical bugs were reported; the emphasis was on feature delivery, data quality, and maintainable notebook-based ETL.
November 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: Focused on improving data integrity and pipeline reliability in the odw-synapse-workspace project. Achievements include notebook content corrections for appeal_event_curated_mipins to ensure accuracy and a data pipeline enhancement for pln_copy_nsip_project_to_mipins to improve data transfer and processing in line with requirements. These deliverables reduce risk of incorrect appeals data, accelerate data movement, and improve maintainability and visibility into changes via issue tracking and Git history.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: Focused on improving data integrity and pipeline reliability in the odw-synapse-workspace project. Achievements include notebook content corrections for appeal_event_curated_mipins to ensure accuracy and a data pipeline enhancement for pln_copy_nsip_project_to_mipins to improve data transfer and processing in line with requirements. These deliverables reduce risk of incorrect appeals data, accelerate data movement, and improve maintainability and visibility into changes via issue tracking and Git history.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focused on deliveries of data governance improvements within the Planning-Inspectorate/odw-synapse-workspace. Delivered a data-only update to NSIPProject dataset metadata to improve management, searchability, and discoverability without code changes, reinforcing dataset stewardship.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focused on deliveries of data governance improvements within the Planning-Inspectorate/odw-synapse-workspace. Delivered a data-only update to NSIPProject dataset metadata to improve management, searchability, and discoverability without code changes, reinforcing dataset stewardship.
July 2025
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Quality Metrics
Correctness76.6%
Maintainability76.6%
Architecture76.6%
Performance75.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
JSONPythonSQL
Technical Skills
Data AnalysisData EngineeringETLNotebook DevelopmentPipeline ManagementSQLSparkconfiguration managementdata analysisdata engineeringdata processingdatabase managementnotebook development
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