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Kanav DuaKD
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Kanav Dua

@kanavdua

I build Azure Lakehouse data pipelines, optimizing Spark with Delta Lake for reliable analytics.

India
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What I'm looking for

I’m looking for a role where I can build and optimize Azure Databricks + Delta Lake Lakehouse pipelines, automate CI/CD, and strengthen data governance with Unity Catalog—while collaborating closely with BI and Data Science teams.

I’m a Data Engineer with 2+ years of hands-on experience designing and delivering scalable Lakehouse architectures and cloud-native data pipelines on Azure. I work end-to-end with Azure Databricks, PySpark, Spark SQL, and Delta Lake—covering ingestion, transformation, and analytics-ready delivery with strong data reliability.

In my current role as a Senior Data Engineer at Decision Point Pvt. Ltd., I orchestrate ETL/ELT via Azure Data Factory, apply Spark optimisation techniques (partitioning, caching, broadcast joins, cluster tuning), and implement CI/CD automation using Azure DevOps for dev/test/prod Databricks deployments. I also drive governance with Unity Catalog (lineage, access control, metadata management), collaborate with BI and Data Science teams, and mentor junior engineers while migrating traditional ETL workflows to modern cloud Lakehouse architecture.

Experience

Work history, roles, and key accomplishments

DL

Data Engineer Intern

Decision Point Pvt. Ltd.

Nov 2023 - Mar 2024 (4 months)

Built POC data pipelines on GCP using BigQuery and Google Cloud Storage, performing large-scale SQL querying and data profiling. Developed Python-based data cleaning and transformation scripts with data quality checks ahead of pipeline ingestion.

Education

Degrees, certifications, and relevant coursework

GC

Guru Nanak Dev Engineering College

Bachelor of Technology (Honours), Computer Science & Engineering

2019 - 2023

Grade: 8.9/10.0

B.Tech (Hons) in Computer Science & Engineering from Guru Nanak Dev Engineering College (2019–2023), achieving a CGPA of 8.9/10.0.

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