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vamsi KrishnaVK
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vamsi Krishna

@vamsikrishna11

I build reliable Azure Lakehouse platforms for batch, streaming, and analytics workloads.

India
Message

What I'm looking for

I'm looking to build reliable, governed Azure Lakehouse platforms where I can deliver scalable batch and streaming pipelines, improve performance and cost efficiency, and support analytics teams with trusted data.

At Datarise Solutions, I lead Lakehouse architecture and metadata-driven ingestion for Barnes & Noble, enabling analytics on curated Delta Gold tables for Power BI and Synapse consumers.

I've built Azure Data Factory and Databricks pipelines for full loads, incremental processing, CDC, historical reprocessing, and large-volume semi-structured data. Using PySpark, Delta Lake, Auto Loader, and Unity Catalog, I deliver governed data pipelines with quality checks, audit logging, reconciliation, and secure access.

Previously, I supported banking, healthcare, and ETL projects at Cognizant, Capgemini, and Infosol Technosol, covering dimensional modeling, SQL development, data validation, performance tuning, and production issue resolution.

Experience

Work history, roles, and key accomplishments

CL

Associate – Data Engineering

Cognizant Technology Solutions India Pvt. Ltd.

Oct 2021 - Mar 2024 (2 years 5 months)

Designed and developed data pipeline solutions for a banking client using Azure Databricks, PySpark, and ADF. Created Delta Lake tables, implemented SCD frameworks, and supported Power BI reporting.

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University, Anantapur logoJA

Jawaharlal Nehru Technological University, Anantapur

Bachelor of Technology, Engineering

Bachelor of Technology degree from Jawaharlal Nehru Technological University, Anantapur, completed in 2017.

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