Software Engineer@HCLTech | Data Engineer | Azure Data Factory (ADF) | Matillion | ETL | Gen AI | Azure DevOps | Python | SQL | JAVA


online


Remote
Bachelor's of technology, Computer science and engineering
Lakireddy Bali Reddy College of Engineering(Autonomous)
intermediate, MPC
Sri Akshara Junior Colllege
Join Murali and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossSoftware Engineer@HCLTech | Data Engineer | Azure Data Factory (ADF) | Matillion | ETL | Gen AI | Azure DevOps | Python | SQL | JAVA
Software Engineer with strong expertise in Java, Python, and SQL, specializing in data integration and ETL solutions using Azure Data Factory (ADF) and Matillion. Skilled in designing scalable applications, optimizing workflows, and delivering cloud-based data solutions. Passionate about solving complex problems, driving automation, and leveraging technology to create impactful, future-ready systems. Committed to continuous learning and contributing to projects that enable data-driven insights and business success.
Vijayawada
Software Engineer at HCLTech, Dec 2024 - Present · 1 yr 6 mos, Data Engineering | Microsoft Azure ✦ Building & operating enterprise-scale ADF pipelines for healthcare workloads ✦ Diagnosing & resolving distributed data workflow failures ✦ Deploying reliable pipeline releases via Azure DevOps CI/CD ✦ Ensuring live-site stability across production environments within SLA ✦ Driving data reliability through cross-team collaboration ⚙ Tech: ADF | Matillion | Azure DevOps | Python | Snowflake | SQL
Web Development Intern at The Sparks Foundation, Jan 2023 - Feb 2023 · 2 mos, online
AI-ML Intern at EduSkills Foundation, Jul 2022 - Sep 2022 · 3 mos
Machine Learnng Intern at Knowledge Solutions India, May 2022 - Jul 2022 · 3 mos, Remote, Machine Learning Intern, Knowledge Solutions in India Engineered end-to-end supervised learning workflows to develop high-accuracy predictive models for house price estimation and disease diagnosis. • Enhanced model performance through data cleaning and feature normalization on market-driven datasets. • Validated reliability using metrics such as R-squared and Accuracy to ensure precise, data-driven outcomes.
Bachelor's of technology, Computer science and engineering, Lakireddy Bali Reddy College of Engineering(Autonomous)
intermediate, MPC, Sri Akshara Junior Colllege
github: https://github.com/TupakulaMuraliKrishna