
Kanak Dhakaria
@kanakdhakaria
I build scalable Azure data pipelines and analytics-ready datasets using ADF, Databricks, and PySpark.
What I'm looking for
At Tata Consultancy Services, I build scalable Azure Data Factory ETL/ELT pipelines that automate end-to-end data workflows and improved data ingestion efficiency by 70%.
I develop Azure Databricks and PySpark notebooks for cleansing, transformation, deduplication, and business rules, using Medallion Architecture to produce analytics-ready data models. I also build Delta Lake pipelines with full and incremental loading strategies for Power BI reporting and business intelligence.
I collaborate with business analysts, QA teams, and stakeholders to deliver high-quality data products, while supporting version control and CI/CD deployments through Git, Azure DevOps, and ARM.
Experience
Work history, roles, and key accomplishments
System Engineer (Azure Data Engineer Developer)
Aug 2023 - Present (3 years 1 month)
Designed and developed scalable Azure Data Factory (ADF) ETL/ELT pipelines, improving data ingestion efficiency by 70%. Built reusable metadata-driven pipelines and implemented Medallion Architecture with Azure Databricks for analytics-ready data models.
Education
Degrees, certifications, and relevant coursework
JSPM's Rajarshi Shahu College of Engineering
Bachelor of Technology, Information Technology
Grade: CGPA- 9.49
Bachelor of Technology in Information Technology with a CGPA of 9.49.
Ashoka Junior College
XII-ISC
Grade: 87.00%
Completed XII-ISC with 87.00%.
Podar International School
X-ICSE
Grade: 89.83%
Completed X-ICSE with 89.83%.
Microsoft
Microsoft Azure Fundamentals (AZ-900), Cloud Fundamentals
Microsoft Azure Fundamentals (AZ-900) certification.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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