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Venkata Siva Narayana Challa

@venkatasivanarayanac

Azure Data Engineer building scalable ETL/ELT pipelines on Azure.

India
Message

What I'm looking for

I’m looking for an Azure-focused data engineering role where I can build scalable ETL/ELT pipelines with ADF and Databricks, strengthen data governance and quality, and own production support—while leveraging GenAI/Databricks Assistant to add real value.

I’m a results-driven Azure Data Engineer with 4 years of experience building scalable ETL/ELT pipeline development, cloud data engineering, and big data processing across Energy and enterprise domains. I specialize in Azure Data Factory (ADF), Azure Databricks, PySpark, and SQL to deliver analytics-ready data platforms for cross-functional stakeholders.

I’ve designed parameterized ingestion pipelines onboarding datasets from Snowflake, Azure Data Lake Gen2, sftp, Salesforce, and REST APIs into structured raw and trusted zones. I implement Medallion Architecture (Bronze-Silver-Gold), Unity Catalog governance, incremental loading, metadata-driven pipelines, and strong data validation/data quality checks to ensure production readiness.

Dual-certified as a Databricks professional (Data Engineer Associate and Generative AI Engineer Associate), I also bring hands-on GenAI and Databricks Assistant experience, including LLM integration fundamentals. I focus on performance optimization, workflow automation, reliable monitoring, and production support—delivering robust pipelines with strong uptime and SLA adherence.

Experience

Work history, roles, and key accomplishments

CL
Current

Azure Data Engineer

Apr 2025 - Present (1 year 2 months)

Designed and implemented scalable, parameterized Azure ingestion and ELT pipelines to onboard datasets from Snowflake, ADLS Gen2, SFTP, Salesforce, and REST APIs into raw and trusted zones. Implemented Unified ELT with Medallion Architecture and enforced Unity Catalog governance (RBAC, lineage, fine-grained permissions) while deploying repeatable CI/CD for Databricks and ADF across environments.

IL

Azure Data Engineer

Mar 2022 - Apr 2025 (3 years 1 month)

Built end-to-end parameterized ETL pipelines in Azure Data Factory to extract and load data from Azure Blob storage, network folders, and on-prem SQL sources into ADLS Gen2 for energy asset reporting. Developed Databricks/PySpark transformations using Medallion Architecture, optimized Snowflake workloads, and maintained 99%+ pipeline uptime through monitoring, RCA, and resilient error-handling/ret

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University Kakinada (JNTUK) logoJJ

Jawaharlal Nehru Technological University Kakinada (JNTUK)

Bachelor of Technology (B.Tech), Electronics and Communication Engineering (ECE)

2017 - 2021

Grade: GPA: 8.2/10

Completed a B.Tech in Electronics and Communication Engineering (ECE) at JNTUK from 2017 to 2021, scoring a GPA of 8.2/10.

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