@chandravenkatanaveen
Azure Data Engineer at HCLTech who cut Spark processing time by approximately 60% on a retail analytics platform.
IndiaAt HCLTech, I designed and developed ETL/ELT pipelines for HP's Retail Customer Segmentation & Analytics Platform, ingesting data from SQL Server, REST APIs, CSV, and JSON into ADLS Gen2.
I developed reusable Azure Data Factory pipelines and Databricks notebooks using Medallion Architecture and Delta Lake. By optimizing Spark workloads with partitioning, caching, broadcast joins, and query tuning, I reduced processing time by approximately 60%.
Work history, roles, and key accomplishments
Designed and developed enterprise-scale ETL/ELT pipelines using Azure Data Factory, Azure Databricks, PySpark, SQL, and Python. Built scalable batch and incremental ingestion frameworks from SQL Server, REST APIs, CSV, and JSON into ADLS Gen2, and implemented Medallion Architecture and Delta Lake features.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Computer Science and Engineering
2018 - 2022
Grade: 8.04 CGPA
Bachelor of Engineering in Computer Science and Engineering from Andhra University, completed in 2022 with a CGPA of 8.04.
Software and tools used professionally
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