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I'm a Python Data and ML Engineer with 5+ years of experience designing, building, and operating production-grade data platforms that power analytics and machine learning in regulated, high-scale enterprise environments. I own end-to-end data pipelines from API ingestion and Kafka streaming to Snowflake data modeling and creation of feature-ready datasets supporting analytics, BI, and ML workflows. I have strong hands-on expertise in data preprocessing, feature engineering, and analytics-ready data modeling using Python, SQL, Pandas, and NumPy, supporting both ML experimentation and production ML services. I’ve deployed and operated cloud-native data and ML systems on Azure and AWS with Docker, Kubernetes, and CI/CD pipelines, focusing on reliability, performance, and operational excellence. I excel at translating business requirements into scalable data infrastructure that enables data-driven decision-making.…I'm a Python Data and ML Engineer with 5+ years of experience designing, building, and operating production-grade data platforms that power analytics and machine learning in regulated, high-scale enterprise environments. I own end-to-end data pipelines from API ingestion and Kafka streaming to Snowflake data modeling and creation of feature-ready datasets supporting analytics, BI, and ML workflows. I have strong hands-on expertise in data preprocessing, feature engineering, and analytics-ready data modeling using Python, SQL, Pandas, and NumPy, supporting both ML experimentation and production ML services. I’ve deployed and operated cloud-native data and ML systems on Azure and AWS with Docker, Kubernetes, and CI/CD pipelines, focusing on reliability, performance, and operational excellence. I excel at translating business requirements into scalable data infrastructure that enables data-driven decision-making.

Dunteesh Sakamuri

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm a Python Data and ML Engineer with 5+ years of experience designing, building, and operating production-grade data platforms that power analytics and machine learning in regulated, high-scale enterprise environments. I own end-to-end data pipelines from API ingestion and Kafka streaming to Snowflake data modeling and creation of feature-ready datasets supporting analytics, BI, and ML workflows. I have strong hands-on expertise in data preprocessing, feature engineering, and analytics-ready data modeling using Python, SQL, Pandas, and NumPy, supporting both ML experimentation and production ML services. I’ve deployed and operated cloud-native data and ML systems on Azure and AWS with Docker, Kubernetes, and CI/CD pipelines, focusing on reliability, performance, and operational excellence. I excel at translating business requirements into scalable data infrastructure that enables data-driven decision-making.…I'm a Python Data and ML Engineer with 5+ years of experience designing, building, and operating production-grade data platforms that power analytics and machine learning in regulated, high-scale enterprise environments. I own end-to-end data pipelines from API ingestion and Kafka streaming to Snowflake data modeling and creation of feature-ready datasets supporting analytics, BI, and ML workflows. I have strong hands-on expertise in data preprocessing, feature engineering, and analytics-ready data modeling using Python, SQL, Pandas, and NumPy, supporting both ML experimentation and production ML services. I’ve deployed and operated cloud-native data and ML systems on Azure and AWS with Docker, Kubernetes, and CI/CD pipelines, focusing on reliability, performance, and operational excellence. I excel at translating business requirements into scalable data infrastructure that enables data-driven decision-making.

Available to hire

I’m a Python Data and ML Engineer with 5+ years of experience designing, building, and operating production-grade data platforms that power analytics and machine learning in regulated, high-scale enterprise environments. I own end-to-end data pipelines from API ingestion and Kafka streaming to Snowflake data modeling and creation of feature-ready datasets supporting analytics, BI, and ML workflows.

I have strong hands-on expertise in data preprocessing, feature engineering, and analytics-ready data modeling using Python, SQL, Pandas, and NumPy, supporting both ML experimentation and production ML services. I’ve deployed and operated cloud-native data and ML systems on Azure and AWS with Docker, Kubernetes, and CI/CD pipelines, focusing on reliability, performance, and operational excellence. I excel at translating business requirements into scalable data infrastructure that enables data-driven decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

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Expert

Intermediate

Work Experience

Python AI/Data Engineer at TSYS

January 1, 2025 - Present

Designed and deployed AI-enabled backend services exposing ML-driven insights via secure REST APIs using FastAPI and Flask; built end-to-end data pipelines ingesting structured data and streaming data from APIs, transactional systems, and Kafka into Snowflake; owned Snowflake data modeling including curated data marts, incremental loads, deduplication logic, and automated data quality checks; developed reusable data preprocessing and feature engineering pipelines (Pandas, NumPy, Scikit-learn) supporting ML experimentation and production scoring; contributed to ML lifecycle activities including dataset validation, feature evaluation, and performance monitoring; integrated LangChain and LLM APIs to automate analytics workflows, reducing manual analysis effort; optimized production deployments with Docker and Azure Kubernetes Service (AKS), reducing deployment time and improving reliability.

Python Data and ML Engineer at United Parcel Service (UPS)

May 1, 2024 - December 1, 2024

Developed and optimized ETL/ELT workflows processing large-scale logistics datasets and loading curated tables into Snowflake to support operational reporting and advanced analytics; implemented data transformation, validation, and reconciliation logic across multiple enterprise systems and APIs; designed feature-ready datasets in Snowflake to support forecasting and anomaly detection; automated batch data pipelines and monitoring routines using Python and SQL; defined KPI-aligned data models in collaboration with analytics and operations stakeholders to enable dashboard-ready datasets; improved pipeline reliability through structured logging, error handling, and performance tuning.

Python Developer at Murugappa Group

November 1, 2021 - July 1, 2023

Built scalable Python-based data acquisition pipelines ingesting logistics and operational data via APIs and databases to support predictive analytics initiatives; implemented feature engineering and data transformation workflows enabling forecasting and anomaly detection models; developed backend microservices exposing analytics-driven insights through RESTful APIs for enterprise consumers; improved system observability and reliability through structured logging, metrics instrumentation, and performance monitoring; contributed to machine learning experimentation workflows by preparing validated datasets and supporting model evaluation processes.

Python Developer at Comcast Corporation

October 1, 2020 - October 1, 2021

Engineered large-scale ETL pipelines using Python, SQL, and shell scripting to support enterprise analytics and reporting; processed high-volume operational datasets powering dashboard reporting and predictive analytics initiatives; improved data quality and pipeline reliability through data validation logic and transformation optimization; monitored and optimized pipeline throughput across distributed data systems, enhancing performance and system stability.