
Sanjay Kumar Sigiri
@sanjaykumarsigiri
I build reliable banking, healthcare, and enterprise analytics pipelines and dashboards using SQL, Power BI, Tableau, and Python.
What I'm looking for
I'm currently building SQL data pipelines and Power BI dashboards for fraud analytics at U.S. Bank, improving risk visibility, anomaly monitoring, and decision support across banking operations.
At Johnson & Johnson, I developed ETL pipelines that reduced processing time by 30%, automated dashboard refreshes, and delivered clinical research, supply chain, and finance reporting using Excel, SQL, Tableau, Power BI, and Snowflake.
At IBM, I modernized data workflows with Rivery, Fivetran, BigQuery, Stitch, Python, SQL, Databricks, Snowflake, and BigQuery. My work supported 99.95% uptime, increased data accuracy by 25%, reduced ETL processing time by 40%, and cut onboarding time by 50%.
I translate business requirements into trusted metrics, dashboards, data pipelines, UAT documentation, and governance practices. I also enjoy mentoring teams through complex projects, solving unexpected challenges, and helping people adopt collaborative best practices.
Experience
Work history, roles, and key accomplishments
Engineered SQL data pipelines and Power BI dashboards for fraud analytics, improving risk visibility and decision support. Standardized data quality checks and optimized Tableau scorecards for banking stakeholders.
Education
Degrees, certifications, and relevant coursework
Central Michigan University
Master of Science, Information Systems
Pursued a Master's degree in Information Systems, focusing on data management and analytics.
HRD Degree and PG College
Bachelor of Science, Computer Science
Completed a Bachelor's degree in Computer Science, building a foundation in programming and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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