I’m looking for a Data Engineering role where I can work on Azure, Databricks, Microsoft Fabric, PySpark, and SQL to build scalable data pipelines and modern cloud data platforms. I’m interested in challenging projects, a strong engineering team, and opportunities to grow technically while contributing to business-focused data solutions
Subhrajit Behera
@subhrajitbehera
I build scalable Azure and Fabric data pipelines for analytics-ready reporting.
What I'm looking for
I’m a Data Engineer with 3+ years of experience building cloud-based data solutions using Microsoft Azure, Databricks, PySpark, SQL, and Microsoft Fabric. At Astran Tech Solutions, I’ve built and maintained 20+ ETL/ELT pipelines, worked with Lakehouse and Medallion architectures, and implemented Delta Lake-based solutions across multiple datasets. I’ve improved pipeline performance by around 30% through Spark optimization and contributed to CI/CD improvements that reduced manual deployment effort by about 60%.
I’m particularly interested in building scalable data platforms, solving data quality and performance challenges, and working with modern data engineering technologies. I enjoy taking ownership of projects, learning new technologies, and working with teams that build practical products. I’m especially interested in remote Data Engineering roles involving Python, SQL, Spark, Azure, Databricks, Fabric, and modern Lakehouse architectures.
Experience
Work history, roles, and key accomplishments
Data Engineer
Astran Tech Solution
May 2023 - Present (3 years 3 months)
Rolled out medallion architecture across 10+ datasets, improving pipeline speed by 30%. Built and maintained 20+ ETL/ELT pipelines in Azure Data Factory and Databricks, and developed a Fabric Lakehouse processing 50K+ records monthly.
Education
Degrees, certifications, and relevant coursework
C.V. Raman Global University
Bachelor of Technology, Computer Science and Engineering
2020 - 2023
Grade: 8.08/10
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 8.08/10.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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