Planning-Inspectorate/odw-synapse-workspace
Jul 2025 – Mar 2026
8 Months active
Languages Used
PythonSQLYAMLMarkdownMermaidJSONjsonpython
Technical Skills
Azure SynapseCloud Computing (Azure Synapse)Data EngineeringData ProcessingETLLogging
RohitShuklaPINS
PROFILE
Rohitshuklapins
Over eight months, contributed to the Planning-Inspectorate/odw-synapse-workspace by engineering robust data pipelines, standardising ETL workflows, and enhancing data quality and governance. Delivered end-to-end solutions using Python, PySpark, and SQL, focusing on notebook-driven development for data transformation, validation, and reporting. Implemented dynamic schema management for Delta Lake tables, automated post-validation checks, and improved observability through logging and monitoring integrations. Managed pipeline lifecycle, resource scaling, and deployment automation to support scalable analytics and reliable casework processing. The work established reproducible, maintainable data flows and enabled timely business insights by aligning technical delivery with operational requirements and governance standards.
Overall Statistics
Feature vs Bugs
97%Features
Repository Contributions
603Total
Bugs
7
Commits
603
Features
201
Lines of code
55,970
Activity Months8
Your Network
68 peopleSame Organization
@planninginspectorate.gov.uk49
Work History
March 2026
34 Commits • 15 Features
Mar 1, 2026March 2026 performance summary for Planning-Inspectorate/odw-synapse-workspace. Delivered end-to-end notebook-driven reporting and data pipeline enhancements supporting monthly cadence. Standardized naming for live_dim_inspector_address notebooks, expanded data surface with new datasets, and introduced a linked service to streamline data flow. Implemented lifecycle changes for pipelines including SAPHR harmonised main pipeline and related dashboards. Achieved business value by enabling more reliable, timely monthly insights with automation in notebooks and pipelines, and improved data governance through consistent naming and dataset management. No explicit critical bugs reported; refactors and updates improved maintainability and reproducibility.
34 Commits • 15 Features
Mar 1, 2026March 2026 performance summary for Planning-Inspectorate/odw-synapse-workspace. Delivered end-to-end notebook-driven reporting and data pipeline enhancements supporting monthly cadence. Standardized naming for live_dim_inspector_address notebooks, expanded data surface with new datasets, and introduced a linked service to streamline data flow. Implemented lifecycle changes for pipelines including SAPHR harmonised main pipeline and related dashboards. Achieved business value by enabling more reliable, timely monthly insights with automation in notebooks and pipelines, and improved data governance through consistent naming and dataset management. No explicit critical bugs reported; refactors and updates improved maintainability and reproducibility.
March 2026
February 2026
98 Commits • 22 Features
Feb 1, 2026February 2026 (2026-02) performance summary for Planning-Inspectorate/odw-synapse-workspace. Delivered substantial data engineering and notebook/pipeline improvements across inspector specialisms, green specialist cases, and SAPHR workflows. Focus areas included data loading, standardisation, validation, bug fixes, and pipeline governance to enhance data quality, reliability, and business insights for planning operations.
February 2026
98 Commits • 22 Features
Feb 1, 2026February 2026 (2026-02) performance summary for Planning-Inspectorate/odw-synapse-workspace. Delivered substantial data engineering and notebook/pipeline improvements across inspector specialisms, green specialist cases, and SAPHR workflows. Focus areas included data loading, standardisation, validation, bug fixes, and pipeline governance to enhance data quality, reliability, and business insights for planning operations.
January 2026
160 Commits • 41 Features
Jan 1, 2026Monthly summary for Planning-Inspectorate/odw-synapse-workspace (2026-01): Delivered comprehensive standardisation and automation across Green Specialist Case and Casework Local Plan pipelines, with corresponding notebooks, migrations, and release controls. This period focused on aligning deployment and validation flows, stabilising data pipelines, and improving post-validation communications and data integrity to support scalable growth and quicker time-to-value for new casework types.
160 Commits • 41 Features
Jan 1, 2026Monthly summary for Planning-Inspectorate/odw-synapse-workspace (2026-01): Delivered comprehensive standardisation and automation across Green Specialist Case and Casework Local Plan pipelines, with corresponding notebooks, migrations, and release controls. This period focused on aligning deployment and validation flows, stabilising data pipelines, and improving post-validation communications and data integrity to support scalable growth and quicker time-to-value for new casework types.
January 2026
December 2025
80 Commits • 13 Features
Dec 1, 2025December 2025: Delivered a set of standards-led data engineering improvements across odw-synapse-workspace, focusing on standardising post-validation checks, stabilising pipelines, and expanding automated governance. The work enhances data quality, validation reliability, and end-to-end data lineage while enabling scalable casework processing.
December 2025
80 Commits • 13 Features
Dec 1, 2025December 2025: Delivered a set of standards-led data engineering improvements across odw-synapse-workspace, focusing on standardising post-validation checks, stabilising pipelines, and expanding automated governance. The work enhances data quality, validation reliability, and end-to-end data lineage while enabling scalable casework processing.
November 2025
18 Commits • 4 Features
Nov 1, 2025Month: 2025-11 — The Planning-Inspectorate/odw-synapse-workspace delivered a set of reliability, observability, and resource-management features that strengthen data integrity, debugging efficiency, and cost control across the ingestion and notebook pipelines. Key outcomes include robust Delta table schema enhancements with dynamic column support and ValidFrom/ValidTo metadata, enabling accurate historical queries and safer schema evolution; centralized autotune configuration and debug lifecycle management across PySpark notebooks with dynamic JSON schema paths for autotune configurations; notebook data processing enhancements for py_Inspector_Specialisms, including improved timestamp handling, execution tracking, and metadata capture for authors/dates with cleanup of extraneous cells; and a resource scaling/memory configuration overhaul that clarifies memory settings and aligns configurations with the main branch, reducing auto-scaling surprises and improving resource predictability. These changes collectively improve data reliability, traceability, debugging speed, and cost-efficient resource usage, delivering tangible business value and technical maturity.
18 Commits • 4 Features
Nov 1, 2025Month: 2025-11 — The Planning-Inspectorate/odw-synapse-workspace delivered a set of reliability, observability, and resource-management features that strengthen data integrity, debugging efficiency, and cost control across the ingestion and notebook pipelines. Key outcomes include robust Delta table schema enhancements with dynamic column support and ValidFrom/ValidTo metadata, enabling accurate historical queries and safer schema evolution; centralized autotune configuration and debug lifecycle management across PySpark notebooks with dynamic JSON schema paths for autotune configurations; notebook data processing enhancements for py_Inspector_Specialisms, including improved timestamp handling, execution tracking, and metadata capture for authors/dates with cleanup of extraneous cells; and a resource scaling/memory configuration overhaul that clarifies memory settings and aligns configurations with the main branch, reducing auto-scaling surprises and improving resource predictability. These changes collectively improve data reliability, traceability, debugging speed, and cost-efficient resource usage, delivering tangible business value and technical maturity.
November 2025
October 2025
31 Commits • 15 Features
Oct 1, 2025October 2025 – Planning-Inspectorate/odw-synapse-workspace: Delivered foundational data modeling with ER diagrams and initial data model files; advanced data standardisation workflows via notebooks for listed buildings (including Rohit variant) and cleanup of obsolete components; expanded observability through Application Insights integration across notebooks; broad notebook maintenance to standardise data flows (raw_to_std, entraid, horizon harmonised docs). These efforts establish a scalable data model, reproducible pipelines, and improved monitoring, enabling faster analytics and higher data quality.
October 2025
31 Commits • 15 Features
Oct 1, 2025October 2025 – Planning-Inspectorate/odw-synapse-workspace: Delivered foundational data modeling with ER diagrams and initial data model files; advanced data standardisation workflows via notebooks for listed buildings (including Rohit variant) and cleanup of obsolete components; expanded observability through Application Insights integration across notebooks; broad notebook maintenance to standardise data flows (raw_to_std, entraid, horizon harmonised docs). These efforts establish a scalable data model, reproducible pipelines, and improved monitoring, enabling faster analytics and higher data quality.
August 2025
169 Commits • 89 Features
Aug 1, 2025August 2025 monthly summary for odw-synapse-workspace: Delivered extensive notebook updates across NSIP and Appeals domains, improved data standardization and traceability, and strengthened data curation pipelines. Focused on delivering concrete business value by standardizing raw data, enhancing logging, and improving insights throughput.
169 Commits • 89 Features
Aug 1, 2025August 2025 monthly summary for odw-synapse-workspace: Delivered extensive notebook updates across NSIP and Appeals domains, improved data standardization and traceability, and strengthened data curation pipelines. Focused on delivering concrete business value by standardizing raw data, enhancing logging, and improving insights throughput.
August 2025
July 2025
13 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on delivering robust data transformation, observability, and pipeline reliability to improve data quality and operational efficiency. Key features delivered include Py_SB Raw to Standard Data Transformation and Observability Enhancements with added logging and pipeline integration, and Logging Utilities Enhancements Across Notebooks for unified diagnostics. Major bug fix: Deployment/Pipeline Configuration Reverts and SAP HR Data Trigger Fix to stabilize daily processing. Overall impact: improved data quality, end-to-end traceability, reduced toil, and safer deployments. Technologies/skills demonstrated include Python data pipelines, notebook-based ETL, logging/observability engineering, environment management, and DevOps practices.
July 2025
13 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on delivering robust data transformation, observability, and pipeline reliability to improve data quality and operational efficiency. Key features delivered include Py_SB Raw to Standard Data Transformation and Observability Enhancements with added logging and pipeline integration, and Logging Utilities Enhancements Across Notebooks for unified diagnostics. Major bug fix: Deployment/Pipeline Configuration Reverts and SAP HR Data Trigger Fix to stabilize daily processing. Overall impact: improved data quality, end-to-end traceability, reduced toil, and safer deployments. Technologies/skills demonstrated include Python data pipelines, notebook-based ETL, logging/observability engineering, environment management, and DevOps practices.
Activity
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Quality Metrics
Correctness80.0%
Maintainability79.0%
Architecture78.6%
Performance78.2%
AI Usage24.8%
Skills & Technologies
Programming Languages
JSONMarkdownMermaidPythonSQLYAMLjsonpython
Technical Skills
API IntegrationAPI managementApache SparkAzureAzure Data FactoryAzure IntegrationAzure SynapseAzure Synapse AnalyticsAzure servicesCI/CDCSV handlingCloud Computing (Azure Synapse)Cloud MonitoringCloud ServicesCode Cleanup
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