Aparna Kandepalli

• Azure Data Engineering: Engineered end-to-end Azure Data Factory orchestration across 7 pipeline layers including pre-landing,
transformation, and certified PIT stages for the Country Category Command Centre programme, improving deployment traceability through
GitHub CI/CD.
• PySpark & Databricks: Optimised PySpark transformation jobs in Azure Databricks to process 50M+ records across structured and
semi-structured sources, boosting processing throughput by 30% and lowering infrastructure spend by 60%.
• Medallion Architecture: Architected a metadata-driven Bronze-Silver-Gold Medallion Architecture data platform for HPs Country Category
Command Centre, automating data movement across enterprise systems and reducing pipeline build cycles by 40%.
• Data Governance & Compliance: Produced audit-ready, production-grade datasets with embedded data lineage and governance controls
across 7 pipeline layers, powering downstream enterprise reporting and ensuring full traceability for USD 1M programme delivery.
• Cloud-Native Pipeline Development: Integrated Azure Data Factory, Azure Databricks, Delta Lake, Azure Synapse, and ADLS into a unified
cloud-native architecture, enabling scalable ingestion across 5 source types including CSV, JSON, DAT, Excel, and AWS SQL.

• Azure Data Engineering: Spearheaded deployment of Azure Data Factory and Azure Synapse pipelines to process large-scale operational
datasets across multiple business units, improving data accessibility and reducing production failures.
• PySpark & Databricks: Transformed Databricks pipeline performance using advanced PySpark and Spark transformations across Azure and
GCP environments, accelerating large-scale data throughput by 30% and enhancing ETL stability and scalability.
• Data Governance & Compliance: Established data quality standards and compliance controls across all business units, implementing
structured data management practices that ensured reliable, consistent business insights across a team of 5 to 7 specialists.
• Cloud-Native Pipeline Development: Architected a multi-cloud pipeline ecosystem leveraging GCP BigQuery, Dataflow, and Cloud
Functions alongside Azure Databricks, Delta Lake, ADLS, and Snowflake, cutting enterprise insights delivery time by 30% across operations.

Designed performance dashboards using Google Analytics, Google
Ads, and SQL, optimising ad operations compliance, improving campaign ROI, and supporting ETL workflows across digital media
operations. Delivered technical troubleshooting and product support, identifying root causes, resolving
client issues, and recommending system improvements in collaboration with engineering and sales teams.