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prathapA100

PROFILE

Prathapa100

Worked extensively on the Planning-Inspectorate/odw-synapse-workspace repository, delivering end-to-end data engineering solutions for HR, planning, and specialist case analytics. Developed and maintained robust ETL pipelines, automated HR metrics workflows, and harmonised data processing using Azure Synapse, Python, and SQL. Enhanced notebook-driven analytics for absence, timesheet, and appeals data, focusing on data quality, operational resilience, and performance. Implemented incremental loading, improved data modeling, and optimized pipeline configuration to support reliable, timely reporting and analytics. Addressed ingestion reliability, logging, and error handling, while managing asset lifecycle and deprecating obsolete components to ensure maintainability and streamlined data operations across the workspace.

Overall Statistics

Feature vs Bugs

90%Features

Repository Contributions

162Total
Bugs
5
Commits
162
Features
47
Lines of code
398,917
Activity Months10

Work History

April 2026

5 Commits • 4 Features

Apr 1, 2026

April 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace. Delivered a focused set of features and data pipeline improvements across absence data processing, historical data handling, green specialist pipeline, and HR data modeling. The work emphasizes data quality, performance, and operational resilience, enabling faster time-to-insight and more reliable HR analytics.

March 2026

6 Commits • 1 Features

Mar 1, 2026

March 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace focused on delivering reliable timesheet data processing capabilities and tightening pipeline configuration and logging to improve data quality and operability. Key outcomes include the rollout of the Timesheet Data Processing Pipelines feature, enhancements to completion semantics, and standardization for loading legacy timesheet data, along with targeted fixes to pipeline logging and configuration to ensure accurate file loading and clearer observability. These efforts enable more timely payroll data, reduce data load errors, and improve maintainability across the Synapse workspace.

February 2026

8 Commits • 1 Features

Feb 1, 2026

February 2026: Delivered automated HR metrics ETL workflows and data modeling enhancements in odw-synapse-workspace, stabilized HR measures notebook and SQL queries, and strengthened data validation, traceability, and observability. These changes enable automated processing of HR absence and employee metrics, integration of leaver data and historical personnel area information into the VW_HR_MEASURES pipeline, and improved reliability for HR metrics pipelines with enhanced logging and autotune handling.

January 2026

2 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for Planning-Inspectorate/odw-synapse-workspace: Delivered Autotune Tracking and Ingestion Reliability Improvements to stabilize data ingestion and autotune state management. This work consolidates autotune changes and enhances reliability for monthly data pipelines, supporting trusted analytics and timely reporting. The updates reduce data gaps and enable more deterministic month-end processing, with clean state resets enabling smoother automation across runs.

December 2025

100 Commits • 27 Features

Dec 1, 2025

2025-12 monthly summary for Planning-Inspectorate/odw-synapse-workspace focusing on end-to-end data ingestion and enrichment for local plans and green specialist cases, notebook and dataset creation, pipeline updates, and performance improvements. Delivered updated notebooks, datasets, and pipelines, renamed and decommissioned obsolete components, and improved data reliability and analytics readiness through expanded data sources (local_plan, hedgerow, tpo) and mipins-based copying. Key business outcomes include faster access to local plan data, richer green specialist coverage, and reduced maintenance overhead.

October 2025

9 Commits • 3 Features

Oct 1, 2025

Concise monthly summary for 2025-10 focusing on notebook-driven analytics in odw-synapse-workspace. Delivered three feature-focused notebooks, improved data processing accuracy and performance in historical SAP timesheets, work schedule rules, and absence analytics, and exercised proper asset lifecycle management by deprecating obsolete artifacts to reduce maintenance. Business value grew through more reliable historical insights, faster analytics, and cleaner repository hygiene.

September 2025

4 Commits • 2 Features

Sep 1, 2025

September 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: Delivered significant notebook enhancements to absence and appeals analysis, improving data processing, analyses, and visualizations. No major bugs reported this month; focus was on code quality and reproducibility. These changes strengthen data-driven decision-making for absence trends and appeal processing within the Planning Inspectorate workspace, leveraging Python notebooks in the Synapse/ODW data environment.

August 2025

11 Commits • 4 Features

Aug 1, 2025

August 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace. Delivered key data engineering enhancements focusing on harmonisation, scheduling alignment, and governance-ready data pipelines and notebooks. Changes consolidate weekly/monthly harmonised pipelines with schema creation and work schedule rule processing, while enhancing absence data processing, HR-protected data handling, and listed buildings harmonisation. Resulting improvements: increased data consistency, reliability of scheduled workflows, and more accurate reporting for planning and governance.

July 2025

16 Commits • 3 Features

Jul 1, 2025

July 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace focused on delivering robust HR analytics and harmonised data pipelines with reliable data views in Synapse.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025 performance summary for Planning-Inspectorate/odw-synapse-workspace: Delivered incremental loading for SAP HR absence data by enhancing history tables, updating notebooks (new and existing), and refining pipelines to support SAP HR setup and post-deployment processes. These changes improve data freshness, reliability, and governance for absence analytics, while reducing manual intervention during deployment.

Activity

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Quality Metrics

Correctness84.8%
Maintainability82.2%
Architecture82.2%
Performance81.4%
AI Usage23.8%

Skills & Technologies

Programming Languages

JSONPythonSQLYAMLjsonpython

Technical Skills

AzureAzure Data FactoryAzure SQL integrationAzure SynapseAzure Synapse AnalyticsAzure integrationAzure servicesData AnalysisData EngineeringData ModelingData ProcessingData WarehousingDelta LakeETLETL Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Planning-Inspectorate/odw-synapse-workspace

Jun 2025 Apr 2026
10 Months active

Languages Used

PythonSQLJSONjsonpythonYAML

Technical Skills

Data EngineeringData WarehousingETLSAP HRAzure SynapseData Analysis