Naveen Krishna Devulapally

• Results-driven Data Engineer with over 4+ years of professional experience in designing, developing, and optimizing data pipelines and architectures. • Proficient in a wide range of programming languages including Python, Scala, R, and SQL, and experienced with essential data science packages such as NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Seaborn, and TensorFlow. • Skilled in ETL and data integration using Informatica, Talend, SSIS, Google Dataflow, AWS Glue and Azure Data Factory (ADF), as well as managing big data technologies within the Hadoop Ecosystem. • Adept at leveraging cloud technologies from AWS, GCP, and Azure to deliver scalable and efficient data solutions. • Expertise in database management with PostgreSQL, MS SQL, MySQL, Cassandra, and DynamoDB, coupled with advanced capabilities in data visualization using Tableau, QlikView, and Power BI. • Proficient in Unix Shell Scripting for automating tasks. • Committed to continuous improvement and innovation in data engineering, utilizing a diverse array of technologies including version control (Git, GitHub), data cataloging (Alation), data analytics (ThoughtSpot), real-time data integration (Striim), job scheduling (Control M, Airflow), SQL management tools (MySQL, PostgreSQL, SQL Server), cloud platforms (AWS, GCP, Azure), big data processing (Apache Spark, Hadoop), containerization (Docker, Kubernetes), and CI/CD pipelines (GitLab CI/CD) to ensure robust, maintainable, and high performance data systems.