Baljeet Jangra
@baljeetjangra
Azure Data Engineer focused on scalable ETL, performance and analytics pipelines.
IndiaWhat I'm looking for
I’m an Azure Data Engineer who builds cloud-native ETL/ELT pipelines that improve performance, scalability, and data availability for analytics. I’ve worked across global enterprise projects, partnering with cross-functional teams to turn complex requirements into reliable data workflows.
In my recent roles, I designed and optimized Azure Data Factory pipeline frameworks that reduced latency by 40%. I also implemented Delta Lake optimization strategies in Azure Databricks, achieving 25% faster query execution, while streamlining ingestion to handle 1M+ daily records using Apache Spark and data lake storage.
I focus on the engineering details that make pipelines dependable: robust data models, optimized Spark transformations, and pragmatic performance tuning. I’ve reduced processing time of key BI reports by 10x, and I support team growth through mentoring, code reviews, and defining engineering best practices.
My core toolkit centers on Python, SQL, PySpark, and the Microsoft Azure data stack—Azure Data Factory, Azure Databricks, Azure Data Lake, and Synapse Analytics—along with platforms like Kafka and Delta Lake. I bring a results-driven mindset and a commitment to building data systems teams can confidently scale.
Experience
Work history, roles, and key accomplishments
At EPAM Systems, I played a pivotal role in developing cloud-native ETL pipelines and optimizing data workflows. My efforts led to a significant reduction in processing times and improved data availability for critical business analytics. Collaborating with cross-functional teams, I designed robust data models that streamlined data integration and enhanced project efficiency.
As a Senior Azure Data Engineer, I lead the design and implementation of scalable, cloud-native data solutions across global enterprise projects. I specialize in architecting complex ETL workflows, optimizing big data processing, and driving performance improvements in analytics pipelines.
Key Achievements:
Designed and optimized a data pipeline framework in Azure Data Factory, reducing latency
Started my journey in cloud data engineering by supporting the development of robust data pipelines and assisting in performance tuning tasks within the Azure ecosystem.
Key Contributions:
Developed ETL processes using Azure Data Factory and SQL to enable structured reporting and analytics.
Supported large-scale Spark jobs to process millions of records across multiple data sources.
Collaborat
Built software features using React.js and TypeScript, with Redux.js for state management and HTML5/CSS for front-end development. Worked with Linux, Git, Docker, and SQL as part of engineering delivery.
Professional development
Career Break
Jan 2020 - Dec 2020 (11 months)
Professional development period at Career Break.
Worked as an Area Sales Officer at Mswipe Technologies Pvt. Ltd. (role details beyond sales title not provided).
Education
Degrees, certifications, and relevant coursework
CHANDIGARH UNIVERSITY
Master of Computer Applications - MCA, Computer Programming
2021 - 2023
Hartron Skill Center
PGDCA, Computer Programming
2019 - 2020
Dr. Bhim Rao Ambedkar Govt. College
B.Sc , Computer Science
2013 - 2019
IACM India
Hardware and Networking Course, MCSA
2016 - 2017
Indira Gandhi Public School
Senior Secondry, Non-Medical
2012 - 2013
B.R.D.M. HIgh School
Matric
2009 - 2010
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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