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Praveen Krish

Praveen Krish

Senior Data Engineer

Talent
ChennaiMember since August 9, 2026
Azure DatabricksUnity CatalogOn-premiseApache AirflowAzure Data Factory (ADF)SSISStored ProceduresDbtPySparkPandasPolarsSnowflakeAzure SQL DatabaseMySQLMS SQL ServerPostgreSQLAzure SQLPythonSQLDjango REST Framework (DRF)RedisJenkinsGitHubBitBucket
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Azure DatabricksUnity CatalogOn-premiseApache AirflowAzure Data Factory (ADF)

About

Results-driven Data Engineer with 4 years of experience at Novac Technology, specialising in designing, building and optimising scalable ETL/ELT pipelines on Azure and on-premise environments. Hands-on expertise across the full data engineering stack — from ingestion and transformation to warehousing and governance. Currently serving as Associate Project Manager, leading a team of engineers, mentoring junior developers, and driving cross-functional delivery.

Experienced with Azure Databricks and Unity Catalog for scalable data processing and governance.

Experience

Associate Project Manager - Novac Technology

(2024-04)

  • Lead a team of data engineers — conducting code reviews, sprint planning, and mentoring junior developers on pipeline design and data quality best practices.
  • Oversee end-to-end project delivery — from requirements gathering and architecture design through to deployment and stakeholder sign-off.
  • Design and implement complex ETL/ELT workflows using Apache Airflow, Azure Data Factory, Dbt, Python, SSIS, and Stored Procedures, improving efficiency and reducing error rates.
  • Build and maintain real-time streaming data pipelines to support analytics and business intelligence use cases.
  • Collaborate with IT, compliance, and business teams to ensure system reliability, security, and data governance standards.
  • Drive automation initiatives that reduce manual intervention across data workflows.
  • Led on-premise to cloud migration and AWS to Azure data migration projects using Python and Polars.

Software Engineer (Data Engineer) - Novac Technology

(2022-03 - 2024-04)

  • Designed and developed ETL processes for Finance and Insurance domains on Azure, processing large volumes of structured and unstructured data.
  • Applied advanced SQL techniques — query optimisation, indexing, and stored procedures — to significantly improve data access speeds.
  • Used Azure Databricks (PySpark, Pandas, Polars) for large-scale data transformation and performance optimisation.
  • Built RESTful APIs using Flask and Django REST Framework to enable seamless data exchange between systems.
  • Supported data extraction and transformation tasks, enhancing reporting capabilities and business intelligence insights.
  • Maintained version control and CI/CD pipelines using GitHub, BitBucket, and Jenkins.

Education

Bachelor of Computer Applications - BCA - DRBCCC Hindu College, Pattabiram (2021-06)

Skills

Senior Data Engineer

Reviews

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