R
Rama Krishna Reddy Molakaseema
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Buffalo, New York, United States
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Data EngineerLPL FinancialMay 2024 - Current (1 year 10 months)• Designed and deployed a high-throughput, real-time data pipeline using AWS Kinesis, enabling seamless processing of 500K+ user contacts and transactions, and boosting ingestion performance by 75% for mission critical systems. • Built scalable ETL workflows with AWS Glue and Python (Pandas, PySpark) to unify disparate datasets, streamline complex transformations, and cut processing time by 60%. Implemented real-time stream processing with AWS Lambda, while utilizing Hadoop for batch processing. Integrated Scikit-learn for anomaly detection, accelerating ML-driven insights and decision-making. • Leveraged AWS Lambda for real-time stream processing and Hadoop for batch workloads, integrating Scikit-learn for anomaly detection to accelerat- Data EngineerTiger AnalyticsJun 2022 - Jul 2023 (1 year 2 months)| • Architected a secure, scalable ETL pipeline to migrate data from SQL Server to Azure Data Lake, boosting regulatory compliance and integration efficiency for critical business operations. • Accelerated data ingestion by 60% using Azure Data Factory with Data Flows and Triggers, while optimizing storage with Parquet format for enhanced performance. • Optimized transformation workflows in Azure Databricks with PySpark and Pandas, cutting processing time by 50% and enabling near real-time analytics. • Enhanced scalability and performance for 500GB+ datasets through Azure Synapse, supporting complex queries and high-speed analytics across business units. • Improved data retrieval speed by 50% via strategic partitioning and indexing in
- Associate Data EngineerGenpactMay 2021 - May 2022 (1 year 1 month)• Architected a high-throughput real-time analytics pipeline with Apache Kafka, seamlessly processing over 1 million messages per minute to power immediate, data-driven decisions. • Accelerated data processing for 500 GB of daily input by optimizing distributed data workflows using Apache Spark, significantly improving pipeline efficiency. • Built robust ETL systems in Python (Pandas, NumPy) to integrate, cleanse, and transform data from 15+ disparate sources, loading 2 TB of structured data into AWS Redshift for advanced analytics. • Crafted complex, performance-optimized SQL queries in AWS Redshift using window functions and multi-level joins to analyze over 10 TB of data, driving accurate, high-value reporting. • Automated 50+ missi
Education
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- UMaster of ScienceUniversity at Buffalo-The State University of New YorkAug 2023 - Dec 2024 (1 year 5 months)
Projects (professional or personal)
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- AAI-Powered Chatbot for Trading InsightsBuilt an end-to-end AI chatbot using Flask, LangChain, AstraDB, and Gemini API, integrating a Retrieval-Augmented Generation (RAG) model to deliver real-time trading insights with a 95% response accuracy, handling 500+ concurrent queries.
- MMetric Learning for Image Similarity SearchDeveloped a self-supervised machine learning pipeline with a hybrid loss function (Triplet Loss and Categorical Cross Entropy) and optimized data pipelines, improving image similarity search precision by 15% and model accuracy by 20%.