Dileep Ambat

About Dileep Ambat

I’m a Data Analyst with 6+ years of experience turning messy, high-volume data into something teams can actually use to make decisions.Most of my work sits at the intersection of SQL, Python, and cloud platforms like AWS and Azure building pipelines, cleaning data, and making sure the numbers people rely on are accurate and accessible. I’ve worked across healthcare, banking, and telecom, so I’m used to dealing with complex datasets and business problems that don’t come with clear answers.I enjoy digging into data to find patterns that aren’t obvious at first glance, whether that’s improving reporting efficiency, identifying cost-saving opportunities, or helping teams understand what’s really driving their KPIs. I’ve also built dashboards in Power BI and Tableau that cut down manual reporting and give stakeholders real-time visibility into performance.What I bring is simple: I don’t just pull data, I try to understand the problem behind it and deliver something that actually helps move the business forward.Always open to connecting with people working on interesting data problems or building scalable analytics solutions.

Experience

1. Data Analyst

   CVS Health

   May 2024 — Present

   At CVS Health, I work as a Data Analyst focused on building scalable data solutions to support healthcare analytics and operational decision-making.I design and optimize SQL-based data extraction workflows in AWS Redshift, which has improved reporting turnaround time by 25% and ensured consistent data availability for dashboards and analytics. I’ve also developed automated ETL pipelines using AWS Glue and Python to streamline claims data ingestion, reducing manual effort and improving processing efficiency.A big part of my role involves building Power BI dashboards and analyzing patient data to uncover trends, helping stakeholders identify performance gaps and drive operational improvements. I place strong emphasis on data quality by implementing validation frameworks and using Python for cleansing and anomaly detection.I work extensively with large healthcare datasets, using SQL joins and aggregations to support cost optimization and improve financial forecasting accuracy. Alongside this, I continuously optimize queries and monitor AWS pipelines to improve performance and system reliability.Beyond technical work, I collaborate closely with stakeholders to gather requirements and translate business needs into scalable data solutions. I’ve also built reusable data models and integrated multiple data sources to support consistent enterprise reporting.Additionally, I leverage AI-assisted tools to speed up development, automate recurring reports, and prepare structured datasets for advanced analytics initiatives. I also ensure strong data governance and security practices through role-based access and compliance standards.Overall, my focus is on delivering reliable, efficient, and business-driven analytics solutions that help teams make better decisions.

Education

• Christian Brothers University

  Master's degree, Computer Science

• JNTUH College of Engineering Hyderabad

  Bachelor's degree, Computer Science

• Christian Brothers University

  Master of Science - MS, Data Science