Ratnakar Reddy
Senior Data Engineer @Wells Fargo
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WORK HISTORY
Senior Data Engineer @Wells Fargo
NC, US
Designed and implemented large-scale data migration activities leveraging Azure Data Factory and Databricks.• Transformed raw data into optimized datasets for business insights.• Collaborated with cross-functional teams in an Agile development environment to ensure on-time delivery of data solutions.• Ensured data quality, governance, and compliance across all pipelines.• Developed ETL pipelines for large-scale data migration projects.• Implemented dimensional data models for reporting solutions.• Integrated ERP data with Azure Data Factory and Snowflake.• Automated DevOps workflows using Git and CI/CD Pipelines.• Designed data governance strategies to ensure compliance.• Developed and deployed machine learning models for predictive analytics and operational insights using Python and Azure ML services.• Designed scalable pipelines to preprocess and prepare large datasets for machine learning workflows.• Implemented feature engineering techniques to enhance model accuracy and performance in production.• Trained and optimized machine learning models for classification, regression, and clustering tasks using Scikit-learn, TensorFlow, and PyTorch.• Conducted hyperparameter tuning and performance evaluation of models to ensure optimal results.• Deployed ML models to Azure and AWS environments, ensuring scalability and low latency for real-time applications.• Leveraged pre-trained models and transfer learning techniques to accelerate the development of custom solutions.• Used ML techniques to detect anomalies and identify patterns in large datasets, enabling proactive decision-making.• Developed APIs to integrate ML models into ERP systems, facilitating seamless data exchange and automated predictions.
EDUCATION
University of Central Missouri
Master's degree, Computer Systems Analysis
JNTU Anantapur
Bachelor's degree, Computer Science
ABOUT RATNAKAR REDDY
5+ years of experience in Data Engineer with proficiency in Data analysis, Data Warehousing (Snowflake), deploying data pipelines using Hadoop based technologies, and implementing services offered by Amazon Web Services (AWS) and Azure. Designed, developed, and deployed Data Lakes, Data Marts, and Data warehouses using AWS cloud like AWS S3, AWS RDS, AWS Redshift, terraform, Lambda, Glue, EMR, Step Function, CloudWatch events, SNS, Redshift, S3, IAM, etc.
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