Planning-Inspectorate/odw-synapse-workspace
Jun 2025 – Oct 2025
5 Months active
Languages Used
PythonSQL
Technical Skills
Data EngineeringData WarehousingETLSAP HRAzure SynapseData Analysis
prathapA100
PROFILE
Prathapa100
Prathap Adicherla engineered and enhanced data analytics solutions within the Planning-Inspectorate/odw-synapse-workspace repository, focusing on HR and planning data pipelines. Over five months, Prathap developed and refined Python and SQL-based notebooks to process SAP HR absence, timesheet, and appeals data, implementing incremental loading, harmonised scheduling, and robust data warehousing practices. By updating ETL pipelines and aligning data models, Prathap improved data freshness, reliability, and reporting accuracy while reducing manual intervention. The work demonstrated depth in Azure Synapse, data engineering, and notebook-driven analytics, resulting in more consistent, governance-ready datasets and streamlined workflows for business insights and operational efficiency.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
41Total
Bugs
2
Commits
41
Features
13
Lines of code
7,031
Activity Months5
Your Network
53 peopleSame Organization
@planninginspectorate.gov.uk40
Work History
October 2025
9 Commits • 3 Features
Oct 1, 2025Concise 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.
9 Commits • 3 Features
Oct 1, 2025Concise 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.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025September 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.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 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, 2025August 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.
11 Commits • 4 Features
Aug 1, 2025August 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.
August 2025
July 2025
16 Commits • 3 Features
Jul 1, 2025July 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.
July 2025
16 Commits • 3 Features
Jul 1, 2025July 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, 2025June 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.
1 Commits • 1 Features
Jun 1, 2025June 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.
June 2025
Activity
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Quality Metrics
Correctness64.8%
Maintainability64.8%
Architecture64.4%
Performance64.4%
AI Usage21.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Azure SynapseData AnalysisData EngineeringData ProcessingData WarehousingETLNotebook DevelopmentPipeline ManagementPythonPython ScriptingSAP HRSQLSQL Development
Repositories Contributed To
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