Dipin Chandra Gadamsetti
Data Engineer @Wellsfargo.Com
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WORK HISTORY
Data Engineer @Wellsfargo.Com
US
Optimized ETL pipelines for financial data using PySpark, Apache Airflow, dbt, and Azure tools, enhancing automation and scalability.Architected a cloud-native data platform with Azure Data Lake and Snowflake, improving query performance by 35%.Built real-time streaming solutions with Kafka and Azure Stream Analytics, processing 1M+ transactions daily.Implemented ML-driven analytics, increasing portfolio returns by 15%.Designed interactive dashboards with Power BI and Looker for senior finance stakeholders.Utilized Terraform and Kubernetes for infrastructure automation and CI/CD pipelines, ensuring data governance and compliance.
EDUCATION
MANASA ENGLISH MEDIUM HIGH SCHOOL, BHIMADOLE
SSC
Sri Chaitanya College of Education
Intermediate
Old Dominion University
Masters
Jawaharlal Nehru Technological University, Kakinada
Bachelor of Technology - BTech
ABOUT DIPIN CHANDRA GADAMSETTI
As a Data Engineer with over 5 years of experience, I specialize in designing and optimizing scalable data pipelines, ETL workflows, and cloud-based data solutions. My expertise spans Python, SQL, Apache Spark, Hadoop, and cloud platforms like AWS, Azure, and GCP, enabling me to build high-performance data architectures that drive business value. I have a strong background in real-time and batch data processing, data warehousing, and data analytics. I’ve worked extensively with technologies like Snowflake, Redshift, Delta Lake, and Apache Kafka, helping organizations streamline their data processes, improve decision-making, and ensure compliance with security standards. My experience includes leveraging machine learning models for predictive analytics, automating CI/CD pipelines for efficient deployments, and implementing infrastructure as code using tools like Terraform and Kubernetes. I’m passionate about transforming raw data into actionable insights and collaborating with cross-functional teams to solve complex problems.
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