Senior Data Analyst - SQL, Python, ETL

Bala Chandra Reddy Jangam

201-***-**** ***************.******@*****.*** LinkedIn linkedin.com/in/balachandrareddyjangam PROFESSIONAL SUMMARY

Senior Data Analyst with 3+ years of experience developing, coding, testing, and deploying SQL-driven reporting solutions, data files, and ETL pipelines that support pharmacy, healthcare, and enterprise operations. Skilled in SQL (SSIS, SSRS-style workflows), Python, Power BI, and data manipulation with a track record of gathering requirements from internal and external partners, producing accurate files and reports that meet contractual and regulatory standards, and managing multiple priorities across short and long-term workstreams. Collaborative team player experienced working cross-functionally to improve data collection, preparation, accuracy, and reporting processes. Authorized to work in the U.S. full-time, no sponsorship required.

PROFESSIONAL EXPERIENCE

Data Consultant Uber USA May 2026 - Present

• Developed and deployed SQL-driven data files and reporting logic within Snowflake, gathering requirements from operations directors and external partners to produce structured files supporting network directory creation across 14 regional domains.

• Collaborated with internal and external colleagues to gather requirements, develop layouts, and provide analysis, synthesizing complex data using advanced SQL queries and identifying patterns across 25 markets to satisfy partner reporting needs from both operational and regulatory standpoints.

• Designed and deployed Power BI monitoring dashboards, documenting 8 automated metric tracking features using Jira, coordinating with engineering teams to resolve data validation gaps and ensuring reporting accuracy across all workstreams.

• Authored functional requirement documents (FRD) and data workflow documentation, managing multiple priorities across logic development, testing, debugging, and deployment to meet project deadlines while balancing support across concurrent reporting workstreams.

Data Analyst Wipro India Dec 2022 - Feb 2024

• Developed and maintained SQL logic for data file creation and manipulation across 680K+ enterprise records, using CTEs, window functions, and joins to gather data, identify patterns, and produce structured datasets for analytics teams and internal reporting.

• Produced 14 Power BI reporting dashboards with DAX measures, coding, testing, debugging, and deploying solutions that enabled operations teams to monitor KPIs, track system activity, and support quality review processes.

• Engineered ETL pipelines and data transformation workflows in Python, automating structured dataset preparation for analytics and reporting, reducing manual data preparation by 22 analyst hours weekly while maintaining data accuracy for downstream pipelines.

• Supported data quality by testing, debugging, and validating production datasets in AWS S3 using Python (Pandas), ensuring reliable data delivery and identifying issues requiring resolution before data reached reporting and machine learning systems.

• Built Scikit-learn predictive classification models, generating 9 forecasting insights used by business teams for planning, and collaborated with cross-functional partners to document analytical logic and ensure regulatory reporting accuracy. Data Analyst Dell Technologies India May 2021 - Nov 2022

• Designed, coded, and deployed SQL-driven reporting solutions and data files using Azure Data Factory and ETL pipelines, integrating 15 distributed data sources and reducing data latency from 24 hours to under 4 hours for enterprise reporting teams.

• Built and maintained executive Power BI and Tableau dashboards monitoring 32 KPIs across 7 global business units, working with internal and external partners to satisfy reporting needs, reduce preparation time by 40%, and document metric definitions.

• Conducted data quality audits across 60+ datasets using Excel Power Query, XLOOKUP, and SQL validation, collaborating cross- functionally to identify issues, document items requiring resolution, and maintain 98%+ reporting accuracy.

• Automated data manipulation workflows in Python (Pandas) to process 300K+ log and transaction records, improving data collection, preparation, and accuracy while managing multiple short and long-term project deliverables concurrently. TECHNICAL SKILLS

Data Analysis & SQL: SQL (Joins, CTEs, Window Functions, SSIS/SSRS-style workflows), data file creation, data manipulation, requirements gathering

Programming & ETL: Python (Pandas, NumPy), ETL/ELT pipelines, SSIS, Azure Data Factory, Informatica PowerCenter, data transformation BI & Reporting: Power BI (DAX, data modeling), Tableau, Looker Studio, SSRS-style dashboards, KPI reporting, directory reporting Data Quality & Documentation: Data validation, testing, debugging, QA, compliance reporting, FRD documentation, 98%+ accuracy standards Healthcare & PBM Knowledge: Pharmacy directory reporting, network provider data, regulatory compliance, healthcare data operations Cloud & Platforms: Snowflake, AWS (S3, Athena, Redshift), Azure Data Factory, Google BigQuery, Amazon Redshift Machine Learning: Scikit-learn, TensorFlow, supervised and unsupervised learning, feature engineering, predictive modeling Statistical Analysis: Hypothesis testing, regression analysis, A/B testing, trend and variance analysis, customer segmentation Advanced Excel: Pivot Tables, Power Query, XLOOKUP, financial and operational reporting, scenario modeling Collaboration & Process: Agile/Scrum, Jira, cross-functional partnerships, requirements gathering, stakeholder communication EDUCATION

M.S., Data Analytics - Indiana Wesleyan University Dec 2025

Contact this candidate