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Senior Python & Data Engineer with 7+ years of experience building scalable ETL pipelines, real-time data systems, and AI-powered applications across financial services, IoT, and Generative AI. Currently delivering high-performance financial data pipelines at Morgan Stanley through Wissen Technology. Skilled in AWS, Kafka, IBM Cognos TM1, and production-grade cloud-native systems (including edge-to-cloud IoT). Experience deploying RAG and vector search solutions using OpenAI APIs, with a track record of reliable, monitored data pipelines achieving 99.9% reliability.…Senior Python & Data Engineer with 7+ years of experience building scalable ETL pipelines, real-time data systems, and AI-powered applications across financial services, IoT, and Generative AI. Currently delivering high-performance financial data pipelines at Morgan Stanley through Wissen Technology. Skilled in AWS, Kafka, IBM Cognos TM1, and production-grade cloud-native systems (including edge-to-cloud IoT). Experience deploying RAG and vector search solutions using OpenAI APIs, with a track record of reliable, monitored data pipelines achieving 99.9% reliability.

Nagarjuna Reddy

Back-End Developer, Programmer, Data Scientist, +5

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Senior Python & Data Engineer with 7+ years of experience building scalable ETL pipelines, real-time data systems, and AI-powered applications across financial services, IoT, and Generative AI. Currently delivering high-performance financial data pipelines at Morgan Stanley through Wissen Technology. Skilled in AWS, Kafka, IBM Cognos TM1, and production-grade cloud-native systems (including edge-to-cloud IoT). Experience deploying RAG and vector search solutions using OpenAI APIs, with a track record of reliable, monitored data pipelines achieving 99.9% reliability.…Senior Python & Data Engineer with 7+ years of experience building scalable ETL pipelines, real-time data systems, and AI-powered applications across financial services, IoT, and Generative AI. Currently delivering high-performance financial data pipelines at Morgan Stanley through Wissen Technology. Skilled in AWS, Kafka, IBM Cognos TM1, and production-grade cloud-native systems (including edge-to-cloud IoT). Experience deploying RAG and vector search solutions using OpenAI APIs, with a track record of reliable, monitored data pipelines achieving 99.9% reliability.

Available to hire

Senior Python & Data Engineer with 7+ years of experience building scalable ETL pipelines, real-time data systems, and AI-powered applications across financial services, IoT, and Generative AI. Currently delivering high-performance financial data pipelines at Morgan Stanley through Wissen Technology.

Skilled in AWS, Kafka, IBM Cognos TM1, and production-grade cloud-native systems (including edge-to-cloud IoT). Experience deploying RAG and vector search solutions using OpenAI APIs, with a track record of reliable, monitored data pipelines achieving 99.9% reliability.

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Work Experience

Senior Python/ETL Developer at Wissen Technology (Morgan Stanley)

April 1, 2024 - June 30, 2026

Designed and optimized ETL pipelines for large-scale financial datasets, including allocations, amortization, and investment data across multiple funds and cost centers. Integrated IBM Cognos TM1 and DB2 for automated financial reporting, improving workflow accuracy and consistency. Implemented Prometheus monitoring and Autosys automation to improve reliability and reduce manual operational effort. Built unit-tested production-grade pipelines ensuring data integrity and governance compliance, processing high-volume data for accurate downstream reporting.

Embedded Software Engineer at Quest Global

August 1, 2022 - April 30, 2024

Developed REST APIs for Battery Management Systems (BMS) enabling real-time telemetry, monitoring, and front-end dashboard visualization. Supported SIL/HIL validation and used simulation tools to debug runtime issues and validate system behavior. Designed telemetry systems for real-time data acquisition across embedded platforms.

IoT Developer at Expleo Group

September 1, 2021 - August 31, 2022

Built cloud-based analytics systems using Google Cloud and BigQuery to process large-scale telemetry data. Developed dashboards delivering performance insights for stakeholders. Collaborated with cross-functional engineering teams to translate raw sensor telemetry into actionable operational reporting.

IoT/Edge Developer at ConnectM Technology

October 1, 2017 - September 30, 2021

Designed and deployed end-to-end IoT solutions for fuel monitoring, HVAC telemetry, and driver safety systems achieving 99.9% data transmission accuracy. Built MQTT-based real-time streaming pipelines with edge buffering and retry mechanisms to ensure zero data loss across 500+ sensors. Engineered AI-based driver monitoring using OpenCV and TensorFlow, integrating GPS/GSM and edge devices for scalable deployment. Developed OTA firmware update capability for remote device management, improving operational efficiency by 35–50%.