Sai Babu Karre
@saibabukarre
I build scalable analytics, dashboards, and automated reporting with SQL, Python, AWS, and BI tools.
United StatesWhat I'm looking for
I'm building scalable retail analytics at Target, where I've developed 50+ complex SQL queries, automated data workflows with Python and AWS Lambda, and created Power BI and Tableau dashboards for operational decision-making.
Previously at NTT DATA, I optimized Redshift and PostgreSQL pipelines on AWS, improving extraction speed by 30% and reducing cloud processing costs by 25%. I also automated analytics workflows for more than 3 million transaction records, improved reporting accuracy by 20%, and used dbt and Python machine learning models to strengthen predictive insights.
At Capgemini, I delivered SQL-driven analysis and interactive dashboards for 20+ stakeholders, automated extraction and transformation workflows, and reduced reporting errors through root-cause analysis using SQL and Python.
I enjoy turning large, complex datasets into clear metrics, practical dashboards, and automated solutions that help teams make faster data-informed decisions.
Experience
Work history, roles, and key accomplishments
Developed over 50 complex SQL queries combined with Python and AWS tools to extract actionable datasets for high-volume retail analytics. Automated data processing workflows using Python, AWS Lambda, and workflow automation platforms, reducing manual ETL time by 40%.
Developed complex SQL queries and optimized Redshift and PostgreSQL data pipelines on AWS, improving data extraction speed by 30%. Built Python-based analytics workflows integrating SQL data extracts and workflow automation platforms to automate processing of over 3 million transaction records.
Developed over 15 complex SQL queries and dashboards extracting actionable insights from large transactional datasets. Created interactive Power BI and Tableau dashboards for 20+ stakeholders, enhancing communication of key metrics.
Education
Degrees, certifications, and relevant coursework
Adelphi University
Master of Science, Business Analytics
2024 - 2025
Grade: 3.9
Pursuing a Master of Science in Business Analytics with a CGPA of 3.9.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
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