Sumanth Marri

Results-driven data engineering professional with solid foundation in designing and maintaining scalable data systems. Expertise in developing efficient ETL processes and ensuring data accuracy, contributing to impactful business insights. Known for strong collaborative skills and ability to adapt to dynamic project requirements, delivering reliable and timely solutions. Knowledgeable Data Engineer with robust background in data architecture and pipeline development. Proven ability to streamline data processes and enhance data integrity through innovative solutions. Demonstrates advanced proficiency in SQL and Python, leveraging these skills to support cross-functional teams and drive data-driven decision-making.

Skilled in building high-performance ETL workflows using Apache Airflow, Databricks, and Informatica, with proven success in reducing data processing times by up to 45% in enterprise environments. Adept in cloud data engineering on AWS and Azure platforms, including Redshift, Glue, S3, Data Factory, and Synapse, enhancing scalability, cost efficiency, and data accessibility for mission-critical projects. Proficient in modern Big Data ecosystems leveraging Spark, Hadoop, Hive, and Snowflake, enabling the delivery of real-time insights, data warehousing solutions, and large-scale analytics initiatives. Experienced in designing CI/CD pipelines using GitHub Actions, Jenkins, Terraform, and Kubernetes to automate deployments, ensuring high availability and reliability of complex data infrastructures. Highly collaborative professional with strong Agile and DevOps experience, driving cross-functional initiatives, improving operational efficiency, and supporting strategic decision-making through advanced data visualizations and predictive modeling.