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Kushal Shah

@kushalshah4

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I build scalable Azure and Databricks data pipelines for enterprise analytics and decision-making.

India

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What I'm looking for

I'm looking to build scalable, reliable data products, collaborate with business stakeholders, and apply Azure, Databricks, SQL, and Generative AI to improve analytics and decision-making.

At Tredence, I build scalable data solutions for enterprise analytics across retail and CPG clients, including a top global retailer and beverage company.

I design and optimize ETL/ELT pipelines with Azure Data Factory, Azure Data Lake, Azure Synapse, Databricks, PySpark, and SQL. I also develop KPI reporting queries, stored procedures, source-to-target mappings, and data-flow documentation.

I built an automated data-quality framework using Great Expectations that reduced manual validation effort by approximately 80%. I own delivery across development, testing, deployment, monitoring, and optimization.

I work closely with business teams to turn requirements into reliable data products. I use Generative AI to accelerate SQL development, debugging, optimization, code review, and documentation while validating outputs for accuracy and performance.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Tredence Inc

Jan 2023 - Present (3 years 8 months)

Built and maintained ETL workflows using Databricks (PySpark), improving data processing efficiency and reducing pipeline runtimes. Developed robust SQL queries and stored procedures to support KPI reporting and BI dashboards.