Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm a Senior Software Engineer with 5+ years of experience building scalable backend systems and data-driven solutions across retail and enterprise domains. I'm proficient in Java and Python, with experience designing REST APIs, event-driven architectures, and data pipelines. I enjoy delivering reliable, production-grade systems that scale to meet demand. I specialize in orchestrating batch workflows using Airflow and Spark, optimizing performance, and delivering domain-aligned solutions that improve efficiency, reduce processing time, and drive measurable business impact. I have a track record of enabling cross-team collaboration and delivering tangible outcomes.…I'm a Senior Software Engineer with 5+ years of experience building scalable backend systems and data-driven solutions across retail and enterprise domains. I'm proficient in Java and Python, with experience designing REST APIs, event-driven architectures, and data pipelines. I enjoy delivering reliable, production-grade systems that scale to meet demand. I specialize in orchestrating batch workflows using Airflow and Spark, optimizing performance, and delivering domain-aligned solutions that improve efficiency, reduce processing time, and drive measurable business impact. I have a track record of enabling cross-team collaboration and delivering tangible outcomes.

Sai Nithin Telukuntla

Back-End Developer, Full Stack Developer, Data Scientist, +3





I'm a Senior Software Engineer with 5+ years of experience building scalable backend systems and data-driven solutions across retail and enterprise domains. I'm proficient in Java and Python, with experience designing REST APIs, event-driven architectures, and data pipelines. I enjoy delivering reliable, production-grade systems that scale to meet demand. I specialize in orchestrating batch workflows using Airflow and Spark, optimizing performance, and delivering domain-aligned solutions that improve efficiency, reduce processing time, and drive measurable business impact. I have a track record of enabling cross-team collaboration and delivering tangible outcomes.…I'm a Senior Software Engineer with 5+ years of experience building scalable backend systems and data-driven solutions across retail and enterprise domains. I'm proficient in Java and Python, with experience designing REST APIs, event-driven architectures, and data pipelines. I enjoy delivering reliable, production-grade systems that scale to meet demand. I specialize in orchestrating batch workflows using Airflow and Spark, optimizing performance, and delivering domain-aligned solutions that improve efficiency, reduce processing time, and drive measurable business impact. I have a track record of enabling cross-team collaboration and delivering tangible outcomes.

Available to hire

I’m a Senior Software Engineer with 5+ years of experience building scalable backend systems and data-driven solutions across retail and enterprise domains. I’m proficient in Java and Python, with experience designing REST APIs, event-driven architectures, and data pipelines. I enjoy delivering reliable, production-grade systems that scale to meet demand.

I specialize in orchestrating batch workflows using Airflow and Spark, optimizing performance, and delivering domain-aligned solutions that improve efficiency, reduce processing time, and drive measurable business impact. I have a track record of enabling cross-team collaboration and delivering tangible outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer at Walmart

July 1, 2023 - February 1, 2026

Architected scalable checkout services using Java and Spring Boot following 12-factor app principles, persisting around 2 million transactions per day in PostgreSQL and increasing throughput by 22% during seasonal demand spikes across multiple fulfillment centers. Built event-driven inventory synchronization pipelines using Kafka and Azure Cosmos DB, enforcing message contracts via Schema Registry to ensure reliable cross-system data flow. Developed Python and Pandas-based validation and transformation workflows for downstream processing, reducing inventory inconsistencies across 50+ distribution centers by 35%. Optimized storefront and fulfillment REST APIs with Redis caching, improving response times from 120ms to 70ms during peak seasons. Orchestrated batch workflows using Airflow and Spark on Parquet datasets in Azure Data Lake to enable reconciliation, operational visibility, and ML feature generation, leveraging MLflow for experiment tracking in demand forecasting. Containerized

Software Analyst at Capgemini

January 1, 2020 - December 1, 2021

Built backend reporting APIs using Flask and FastAPI, optimizing SQL queries in MySQL, deploying services on AWS EC2 and leveraging AWS Lambda for lightweight asynchronous processing, reducing data retrieval time by 30%. Designed ETL workflows with SparkSQL and Hive to process over 10M structured and semi-structured records daily, storing transformed datasets in AWS S3 and Snowflake for efficient batch processing and reliable reporting. Created Python and Pandas data transformation pipelines to prepare and validate KPI datasets, supporting management decisions and enabling consistent performance monitoring across multiple teams. Implemented data validation and reconciliation workflows enforcing cross-system data integrity, reducing manual verification efforts and ensuring audit-ready, consistent reporting across client enterprise dashboards. Maintained CI/CD integration and deployment pipelines using Jenkins and Git, supporting stable enterprise releases across client projects and decr

Machine Learning Intern at HCL Technologies

July 1, 2019 - November 1, 2019

Conducted supervised learning experiments using XGBoost and LightGBM on tabular datasets with feature engineering including encoding, scaling, and selection, improving forecast accuracy by 12% and enabling better operational planning for client pilot projects. Explored neural network architectures using TensorFlow and Keras, analyzing convergence behavior and model performance, achieving more stable model outputs and reducing experimental iteration time by 15%. Performed exploratory data analysis and feature engineering on structured datasets using Jupyter Notebook, visualizing distributions with Seaborn and validating data quality to prepare reliable inputs for modeling experiments. Executed ML experiments in Azure ML, training and registering models within controlled cloud workspaces, reducing model iteration cycles by 25% and enabling faster feedback from senior engineers.