Sandesh Adusumilli

Background

About Sandesh Adusumilli

As a Data Engineer with over three years of experience, I specialize in creating robust data solutions that drive business insights and enhance operational efficiency. My expertise lies in designing and implementing end-to-end data pipelines, optimizing data models, and leveraging cloud platforms like AWS, Azure, and Snowflake to develop scalable and efficient architectures. I’ve worked on diverse projects, including building data pipelines with AWS tools such as Lambda, S3, Redshift, and Glue, enabling seamless data integration. I’ve also developed and optimized Spark Streaming tasks using PySpark, delivering real-time data processing and actionable insights. Migrating on-premise databases to Snowflake and AWS has allowed me to enhance query performance and reduce costs significantly. Additionally, I’ve used tools like Apache Airflow and Azure Data Factory to automate workflows, ensuring timely and accurate data ingestion and transformation. My experience with Azure includes managing large datasets, designing ETL workflows, and creating data models in Synapse and SQL Data Warehouse. I’ve also built Power BI dashboards to provide real-time insights and foster data-driven decision-making. My work with Elasticsearch and Kibana has ensured high availability and performance of data pipelines, while my use of predictive analytics through tools like AWS SageMaker has improved forecasting accuracy. With a strong foundation in programming languages like Python, SQL, and Scala, as well as a comprehensive understanding of data warehousing and big data technologies, I thrive on building solutions that address complex challenges. I enjoy collaborating with teams to develop systems that support organizational goals and drive meaningful outcomes.