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Dhilip Kumar

@dhilipkumar2

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Azure Data Engineer building event-driven ETL pipelines with Azure Data Factory and ADLS Gen2.

India

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I built an event-driven Azure Data Factory pipeline for the Smart Dairy Milk Silo project, ingesting IoT sensor data into a Bronze-Silver-Gold lakehouse on ADLS Gen2.

I used SQL watermarking for incremental loads and Mapping Data Flows to validate and deduplicate sensor records, routing invalid data to an error dataset.

At Adecco (Client: Amazon Development Center), I validated production data for Prime Video Sports, maintaining 99.9% data integrity across weekly records in Amazon Redshift.

I also automated data preparation and reporting with Python and SQL, and developed Amazon QuickSight dashboards for content-quality and operational KPIs.

Experience

Work history, roles, and key accomplishments

Data Analyst I

Adecco

Apr 2024 - Nov 2024 (7 months)

Maintained 99.9% data integrity by validating 10,000+ weekly production records in Amazon Redshift using CTEs, window functions, and joins. Reduced reporting latency by 25% by automating data preparation workflows with Python and SQL.

Amazon Redshift SQL Python S3 Athena QuickSight Data Validation Data Quality ETL Report Automation

Education

Degrees, certifications, and relevant coursework

Ivy Professional School

Data Engineering Program (Azure), Data Engineering

2026 - 2026

Completed a Data Engineering Program (Azure) covering SQL, Python, Hadoop, Hive, Spark, Kafka, Azure Data Factory, ADLS, Synapse, Databricks, Cosmos DB, and Event Hubs.