Gosula Reddy

About Gosula Reddy

I thrive on the challenge of turning complex data into clear insights that drive decision-making. With over three years of experience as a Data Engineer across finance and healthcare sectors at companies like Citi and Deloitte, I’ve honed my skills in designing both real-time and batch ETL pipelines using tools like Python and SQL. My journey began at Optum where I first discovered the power of data engineering to influence business outcomes.One of my proudest moments was developing an ETL pipeline that reduced processing time by 40%, enabling faster access to critical financial reports for stakeholders. I also had the opportunity to work on GenAI projects where I built ML-ready data solutions that not only streamlined operations but also enhanced predictive analytics capabilities for my team.I’m passionate about leveraging cloud technologies such as Azure, AWS, and GCP alongside tools like Snowflake to create scalable solutions tailored for analytics workflows. Whether it’s crafting insightful dashboards using Tableau or Power BI or diving deep into Kafka for real-time streaming data applications—I find joy in every aspect of this field.Outside of work hours, you might find me exploring the latest trends in technology or volunteering at local coding boot camps where I help others discover the world of data science. It’s rewarding to share knowledge while continuously learning from others’ perspectives.If you’re looking for someone who can bring clarity from chaos through innovative data solutions or just want to chat about emerging tech trends—feel free to reach out via email! Skills: Python | SQL | Spark | Kafka | Snowflake | Azure | AWS | GCP | Tableau | Power BI | GenAI

Experience

1. Data Engineer

   Citi

   Dec 2024 — Present · US

   Designed and implemented over 10 real-time ETL pipelines using Python and Spark that enhanced data availability for analytics teams by 40%, significantly improving decision-making processes.* Developed scalable data solutions on cloud platforms like AWS and Azure that reduced operational costs by 25% while increasing system reliability through automated monitoring.* Collaborated with cross-functional teams to deliver actionable insights via Tableau dashboards that drove a 30% increase in user engagement with key business metrics.* Spearheaded the integration of GenAI models within existing workflows that streamlined data processing tasks by reducing manual intervention time by an average of 15 hours per week. Skills: Data Engineering, ETL Development, Python Programming, SQL Querying, Spark Frameworks

Education

• University of Cincinnati

  Masters