Vivek Salunke profile photo 1 on Tal

Vivek Salunke

Data Engineer | Azure, Databricks, Fabric | Building Modern Data Platforms for Analytics & AI/ML | Python, PySpark, SQL

Pune District

2+ years of work experience

Prosys Infotech Private Limited
Jul 20242 yrs 1 moPresent

Engineered and implemented robust automated data pipelines using Azure Data Factory and Databricks to ingest multi-source data into a structured Medallion Architecture on ADLS Gen2. Optimized PySpark workloads by implementing Delta Lake features like Z-Ordering and Partitioning, achieving measurable improvements in processing efficiency and reducing compute costs. Established CI/CD maturity by developing Azure DevOps pipelines to automate the testing and deployment of ADF artifacts and Databricks notebooks across multiple environments. Integrated Microsoft Fabric capabilities into existing workflows, utilizing Lakehouse shortcuts and GitHub Copilot to accelerate script development and pipeline orchestration. Architected high-performance data layers in Azure SQL Database to support real-time Power BI dashboards, maintaining Unity Catalog standards for strict governance and compliance.
Prosys Infotech Private Limited
May 20243 mosJul 2024

Prosys Infotech Pvt. Ltd.
May 20242 yrs 3 mosPresent

Engineered and implemented robust automated data pipelines using Azure Data Factory and Databricks to ingest multi-source data into a structured Medallion Architecture on ADLS Gen2. Optimized PySpark workloads by implementing Delta Lake features like Z-Ordering and Partitioning, achieving measurable improvements in processing efficiency and reducing compute costs. Established CI/CD maturity by developing Azure DevOps pipelines to automate the testing and deployment of ADF artifacts and Databricks notebooks across multiple environments. Integrated Microsoft Fabric capabilities into existing workflows, utilizing Lakehouse shortcuts and GitHub Copilot to accelerate script development and pipeline orchestration. Architected high-performance data layers in Azure SQL Database to support real-time Power BI dashboards, maintaining Unity Catalog standards for strict governance and compliance.

Vivek’s AI Stack

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Education

Centre for Development of Advanced Computing (C-DAC)

Postgraduate Diploma, Big Data Analytics

Centre for Development of Advanced Computing (C-DAC)

20231 yr2024
Savitribai Phule Pune University

Bachelor of Engineering - BE, Computer Engineering

Savitribai Phule Pune University

20184 yrs2022

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Headline

Data Engineer | Azure, Databricks, Fabric | Building Modern Data Platforms for Analytics & AI/ML | Python, PySpark, SQL

About

Most companies don’t have a data problem — they have a data engineering problem. I’m a Data Engineer focused on building reliable, scalable, and analytics-ready data platforms using Azure, Databricks, Microsoft Fabric, PySpark, and SQL. In my current role, I work on designing and maintaining ETL pipelines, improving data quality, and supporting cloud migrations — helping teams move from messy raw data to trustworthy, decision-ready datasets. Alongside production work, I’m actively expanding into Data Science, AI/ML, and GenAI systems, because great AI is impossible without great data foundations. My focus areas: Building scalable ETL/ELT pipelines (ADF, Databricks, Fabric) Data warehousing, Delta Lake, and analytics engineering Real-time & batch processing foundations Designing AI-ready data platforms I’m currently open to opportunities as: Data Engineer / GenAI Data Engineer / AI-ML Engineer If you’re building a data platform, analytics stack, or AI product — let’s talk.

Location

Pune District

AI stack

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Work experience

Data Engineer at Prosys Infotech Private Limited, Jul 2024 - Present · 2 yrs 1 mo, Engineered and implemented robust automated data pipelines using Azure Data Factory and Databricks to ingest multi-source data into a structured Medallion Architecture on ADLS Gen2. Optimized PySpark workloads by implementing Delta Lake features like Z-Ordering and Partitioning, achieving measurable improvements in processing efficiency and reducing compute costs. Established CI/CD maturity by developing Azure DevOps pipelines to automate the testing and deployment of ADF artifacts and Databricks notebooks across multiple environments. Integrated Microsoft Fabric capabilities into existing workflows, utilizing Lakehouse shortcuts and GitHub Copilot to accelerate script development and pipeline orchestration. Architected high-performance data layers in Azure SQL Database to support real-time Power BI dashboards, maintaining Unity Catalog standards for strict governance and compliance.

Associate Data Engineer at Prosys Infotech Private Limited, May 2024 - Jul 2024 · 3 mos

Data Engineer at Prosys Infotech Pvt. Ltd., May 2024 - Present · 2 yrs 3 mos, Engineered and implemented robust automated data pipelines using Azure Data Factory and Databricks to ingest multi-source data into a structured Medallion Architecture on ADLS Gen2. Optimized PySpark workloads by implementing Delta Lake features like Z-Ordering and Partitioning, achieving measurable improvements in processing efficiency and reducing compute costs. Established CI/CD maturity by developing Azure DevOps pipelines to automate the testing and deployment of ADF artifacts and Databricks notebooks across multiple environments. Integrated Microsoft Fabric capabilities into existing workflows, utilizing Lakehouse shortcuts and GitHub Copilot to accelerate script development and pipeline orchestration. Architected high-performance data layers in Azure SQL Database to support real-time Power BI dashboards, maintaining Unity Catalog standards for strict governance and compliance.

Education

Postgraduate Diploma, Big Data Analytics, Centre for Development of Advanced Computing (C-DAC)

Bachelor of Engineering - BE, Computer Engineering, Savitribai Phule Pune University