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Pralhad Mule

Azure Data Engineer @LTIMindtree | 2.5+ YOE | ADF | Databricks | Python | PySpark | SQL | ETL Pipelines | Data Warehousing | Synapse | Data Modelling

Pune District

3+ years of work experience

LTIMindtree
Apr 20242 yrs 1 moPresent

Pune, Maharashtra, India

•Designed and developed ETL pipelines using Azure Data Factory and Databricks, processing large-scale datasets •Implemented incremental data loading (CDC) using watermarking, reducing processing by 40% •Built data transformation logic using PySpark, improving pipeline efficiency by 30% •Developed and optimized SQL queries for data extraction and reporting •Integrated data from multiple sources (APIs, databases, files) into Azure Data Lake •Worked with Azure Synapse Analytics for data warehousing and reporting •Ensured data quality and consistency through validation and cleansing techniques
LTIMindtree
Feb 20236 mosJul 2023

Pune, Maharashtra, India

Persistent Systems
Mar 20222 mosApr 2022

Pune, Maharashtra, India

Ceptra infotech
Jan 20222 mosFeb 2022

Pune, Maharashtra, India

Education

Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

Computer engineering

Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

20194 yrs2023
Savitribai Phule Pune University

Bachelor of Engineering - BE, Computer Engineering

Savitribai Phule Pune University

20194 yrs2023

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Headline

Azure Data Engineer @LTIMindtree | 2.5+ YOE | ADF | Databricks | Python | PySpark | SQL | ETL Pipelines | Data Warehousing | Synapse | Data Modelling

About

Azure Data Engineer with 2.5+ years of experience building scalable data pipelines and delivering data-driven solutions for enterprise clients. I specialize in designing and optimizing ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics. With strong expertise in Python, SQL, and PySpark, I work on transforming large-scale structured and semi-structured data into reliable, analytics-ready datasets. In my current role at LTIMindtree (HSBC project), I have: • Built and optimized ETL pipelines processing millions of records • Implemented incremental loading (CDC) to improve efficiency • Improved pipeline performance using partitioning and optimization techniques • Ensured data quality through validation and cleansing I collaborate closely with data analysts and stakeholders to deliver accurate datasets that power reporting and business decisions. 💡 Areas of Interest: Data Engineering | Big Data | Cloud (Azure) | Data Warehousing | Real-time Data Processing 📩 Open to Data Engineer opportunities (Azure / PySpark / ETL)

Location

Pune District

Work experience

Azure Data Engineer (HSBC Project) at LTIMindtree, Apr 2024 - Present · 2 yrs 1 mo, Pune, Maharashtra, India, •Designed and developed ETL pipelines using Azure Data Factory and Databricks, processing large-scale datasets •Implemented incremental data loading (CDC) using watermarking, reducing processing by 40% •Built data transformation logic using PySpark, improving pipeline efficiency by 30% •Developed and optimized SQL queries for data extraction and reporting •Integrated data from multiple sources (APIs, databases, files) into Azure Data Lake •Worked with Azure Synapse Analytics for data warehousing and reporting •Ensured data quality and consistency through validation and cleansing techniques

Graduate Engineering Trainee at LTIMindtree, Feb 2023 - Jul 2023 · 6 mos, Pune, Maharashtra, India

Martian Internship program at Persistent Systems at Persistent Systems, Mar 2022 - Apr 2022 · 2 mos, Pune, Maharashtra, India

Salesforce Developer at Ceptra infotech, Jan 2022 - Feb 2022 · 2 mos, Pune, Maharashtra, India

Education

Computer engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

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

Pralhad Mule - Azure Data Engineer (HSBC Project) in Pune District | Tal