About
I’m a Data Engineer with hands-on experience in designing and building scalable ETL pipelines using Azure Data Factory, PySpark, Informatica PowerCenter, SSIS, SQL, and Microsoft Fabric. Currently working as a Programmer Trainee at Bitwise, I develop enterprise-grade data integration solutions, optimize data processing workflows, and work with large-scale datasets to deliver reliable and efficient data pipelines. Previously, I interned at BMC Software, where I developed Python-based automation tools that improved testing efficiency and data reliability. Alongside my professional experience, I’ve built full-stack applications using Node.js, Express.js, React.js, PostgreSQL, MongoDB, and Flutter, strengthening my software engineering and backend development skills. I’m also a Databricks Certified Data Engineer Associate, with a strong foundation in Python, SQL, ETL, Azure Data Engineering, Spark, and Data Warehousing. I enjoy solving complex data engineering challenges, optimizing pipeline performance, and building scalable cloud-based data solutions. Beyond work, I have a strong problem-solving mindset and have solved 600+ Data Structures & Algorithms problems across coding platforms. I’m passionate about continuously learning new technologies and applying them to build efficient, production-ready systems. I’m currently serving my notice period and actively seeking opportunities as a Data Engineer, Azure Data Engineer, Databricks Engineer, or Big Data Engineer, where I can contribute to building modern data platforms while continuing to grow as an engineer. Let’s connect if you’re hiring or working on exciting data engineering and cloud projects!
Work experience
Data Engineer L1 at Bitwise, Aug 2026 - Present · 3 mos, Pune District
Data Engineer at Bitwise, Jun 2025 - Present · 1 yr 5 mos, Pune, Maharashtra, India
Software Engineer Intern at BMC Software, Jan 2024 - Jun 2024 · 6 mos, Developed a Python-based tool to automate scanning and data extraction from web applications. Automated scanning of the DOM to extract elements using attributes and paths. Implemented comparison logic to detect changes in locators across versions. Created modules for WebDriver configuration, data parsing, and result comparison. Utilized BeautifulSoup for HTML parsing and Selenium for web automation. Increased efficiency in detecting locator changes, reducing script failures and maintenance time by 48 hours. Developed a Java-based project using Selenium for automated screenshot capture. Implemented functionality to capture screenshots of every page by interacting with every element in the product. Prepared the project for future integration with an image comparison tool to compare screenshots.
