Susmitha Basineni

I am a Data Engineer with 6 years of experience designing, building, and maintaining scalable data pipelines and analytics platforms. Over the years, I have worked extensively with Python, SQL, Spark, and cloud platforms like AWS and Databricks to handle large, complex datasets for analytics and data science use cases. I have experience building ETL/ELT pipelines, data lakehouse and warehouse architectures, and optimizing pipelines for performance, reliability, and scalability.

I have also worked on graph databases, data deduplication, and entity resolution to support advanced analytics and AI/ML initiatives. I am comfortable working in production environments, following CI/CD, test-driven development, and data quality best practices, while collaborating closely with cross-functional teams to translate business requirements into technical solutions.

My goal is to leverage my skills in data engineering to deliver robust, high-quality data solutions that enable actionable insights and support business and technical decision-making.

I am a Data Engineer with 6 years of experience building and maintaining scalable data pipelines and cloud-based data platforms. I have hands-on expertise in Python, SQL, Spark, and Databricks, designing ETL/ELT workflows for large, complex datasets. My experience includes data lakehouse and warehouse architectures, data quality and deduplication, graph database modeling, and AI/ML data support. I am skilled in optimizing pipeline performance, implementing CI/CD practices, and collaborating with cross-functional teams to deliver robust, reliable, and analytics-ready data solutions.

I hold a Master’s/Bachelor’s degree in IT from Union Commonwealth University. During my studies, I gained strong foundations in programming, algorithms, databases, data structures, and distributed systems, which I have applied extensively in building data pipelines, data architectures, and cloud-based solutions throughout my career.