Ajay Kumar Reddy Inaganti

About Ajay Kumar Reddy Inaganti

I’m a results-driven Data Engineer with 5+ years of experience designing, building, and optimizing large-scale data solutions across cloud and on-premises environments. My expertise spans ETL pipeline development, real-time analytics, and deploying machine learning models using technologies like Databricks, Snowflake, AWS, Azure, and Python. I thrive on solving complex data challenges- whether it’s automating data ingestion, architecting robust data warehouses, or streamlining analytics workflows to deliver actionable business insights. I’m passionate about leveraging data to drive smarter decisions and measurable impact, such as reducing pipeline failures, accelerating model training cycles, and improving data accessibility for stakeholders. I enjoy collaborating with cross-functional teams, mentoring junior engineers, and continuously learning new technologies to stay at the forefront of the data landscape. If you’re interested in data engineering, cloud solutions, or innovative analytics, let’s connect!

Experience

1. Data Scientist

   Information Data Systems Ids

   Aug 2024 — Present · Troy, MI, US

   Architected and drove the implementation of cloud-native Data & AI platforms utilizing Databricks, Snowflake, Spark, and Kafka to deliver real-time and batch analytics for enterprise business processes. • Led development and testing of scalable AI-powered applications, applying rigorous automation, version control, and CI/CD strategies (Jenkins, Docker, Kubernetes) for rapid, reliable releases. • Designed modular APIs and microservices (RESTful, GraphQL) supporting internal/external clients, prioritizing security, documentation, and reusability in all deployments. • Directed the deployment and continual optimization of data pipelines, ensuring high system performance, robust data integrity, and cost-effective scaling across Azure and AWS. • Collaborated extensively with diverse teams and executives to align architecture with business goals, mentor engineers, and drive complex projects to successful completion. • Established and enforced best practices in code quality, environment management, and operational monitoring using modern DevOps toolchains. • Contributed to technical documentation and code reviews, mentoring junior engineers and fostering a culture of continuous improvement. • Conducted regular training sessions on Power BI and Alteryx best practices, upskilling staff and increasing analytics adoption firm-wideBuild and optimized data pipelines using Python to efficiently extract, transform, and load data into the datawarehouse. • Designed and deployed a real-time streaming Extract-Transform-Load (ETL) system using Informatica, optimized existing SQL queries with Hadoop and Spark, and developed automated testing routines to ensure data quality. • Designed and maintained data warehouses in Snowflake, enabling efficient data storage, retrieval, and analysis for cross-functional teams. • Implemented end-to-end machine learning pipelines with TensorFlow, including data preprocessing, model training, and evaluation, resulting in streamlined

Education

• PACE Institution of Technology & Sciences,

  Bachelor of Technology - BTech

  2016 — 2020

• Indiana Wesleyan University

  Master of Science - MS

  2023 — 2024