Radhika
Senior Data Analyst • Dallas, TX • r***********@gmail.com • 972****013 • drivetube.ai/•••••
Professional Summary
Senior Data Analyst with 11+ years of experience delivering enterprise-scale analytics, BI, and data engineering solutions across healthcare and banking domains. Strong practical experience building ETL/ELT pipelines and cloud data platforms using Azure Data Factory, Azure Databricks, Azure Synapse, and Snowflake, and producing trusted data for reporting. Expert in SQL and Python (Pandas, PySpark) for data transformation, reconciliation, predictive modeling, and anomaly detection. Proven track record designing Power BI and Tableau executive dashboards and automating regulatory and operational reporting using SQL stored procedures, Azure DevOps CI/CD, and Power Automate. Experienced implementing data governance with Collibra and Azure Purview and supporting HIPAA, AML/KYC and SOX compliance. Comfortable owning end-to-end delivery: data ingestion, modeling, governance, analytics, and stakeholder-facing insights.
Technical Skills
Programming Language: Python,R,SQL,SAS
Databases: Snowflake,Oracle
Cloud Platforms: Microsoft Azure
DevOps & Infrastructure: Azure DevOps,Continuous Integration,Continuous Deployment,Apache Kafka
Data Engineering & Processing: Azure Databricks,PySpark
Data Warehousing: Data Modeling
Data Analysis & Visualization: Pandas,Power BI,Tableau,Power Query,Alteryx,Forecasting,AML,KYC
Machine Learning & AI: Predictive Modeling,Anomaly Detection,scikit-learn
Data Integration & ETL: Collibra,Data Validation,Azure Data Factory,Informatica,ETL,ELT
Compliance & Governance: SOX
Project Management & Collaboration: Jira,Power Automate,Customer Segmentation
Financial Reporting & Compliance: MIS Reporting
Work Experience
Comerica
Dallas, TX
Senior Data Analyst
May 2024 – Present
Modernized a bank data and analytics platform supporting commercial banking, treasury management, lending, and digital banking to enable centralized analytics, transaction monitoring, and regulatory reporting.
Tech Stack: Azure Data Factory, PySpark, Azure Databricks, Snowflake, Python, Pandas, Power BI, Tableau, Apache Kafka, Azure Event Hub, Informatica, Collibra, Azure Purview, Azure DevOps
- Engineered scalable ETL pipelines using Azure Data Factory and PySpark to ingest and transform commercial banking and lending transaction data for enterprise reporting.
- Built Power BI and Tableau executive dashboards backed by Azure SQL to surface treasury performance and portfolio KPIs for business leaders.
- Applied Python with Pandas to create customer segmentation and anomaly detection models that supported transaction monitoring and operational analytics.
- Automated regulatory reporting and reconciliation processes using SQL stored procedures and Azure DevOps CI/CD pipelines to support AML/KYC and SOX controls.
- Integrated real-time transaction feeds via Apache Kafka and Azure Event Hub into Azure Databricks to enable near-real-time analytics and monitoring.
- Performed data profiling and cleansing using Informatica and SQL-based validation frameworks to improve data quality across financial datasets.
- Leveraged Snowflake and Azure Databricks notebooks to execute large-scale analytics addressing deposit and transaction behavior trends.
- Implemented data governance and lineage tracking with Collibra and Azure Purview to ensure metadata visibility and audit readiness.
UMB Bank
Kansas City, MO
Data Analyst III / Lead Data Analyst
Mar 2022 – Apr 2024
Enhanced enterprise banking, treasury, and payment analytics by centralizing data from multiple banking platforms into a cloud analytics environment to improve reporting and compliance.
Tech Stack: SQL, Snowflake, Azure Data Factory, Informatica, Power BI, Tableau, Python, Scikit-Learn, Power Automate, Azure Databricks
- Analyzed high-volume payment and treasury transaction datasets using SQL and Snowflake to deliver actionable operational insights for treasury teams.
- Built ETL/ELT pipelines with Azure Data Factory and Informatica to centralize core banking data for downstream analytics.
- Designed analytical data models in Azure Synapse and Snowflake to support commercial banking and enterprise reporting requirements.
- Created Power BI and Tableau dashboards to visualize payment trends and executive KPIs for business stakeholders.
- Performed predictive modeling using Python and Scikit-Learn for transaction anomaly detection and forecasting use cases.
- Implemented data validation and reconciliation using SQL stored procedures and Python scripting to ensure reporting accuracy and audit readiness.
- Automated recurring reporting workflows using Power Automate and Azure Databricks notebooks to reduce manual reporting effort.
TowneBank
Suffolk, VA
Data Analyst
Jan 2020 – Feb 2022
Delivered analytics and reporting across retail banking, mortgage, treasury, and digital channels by building ETL processes and self-service dashboards to improve operations and compliance.
Tech Stack: SQL, SQL Server, Oracle, SAS, Python, Pandas, R, Tableau, Power BI, Informatica, SSIS, Excel VBA, Power Query
- Analyzed retail banking and mortgage datasets using SQL and SAS to identify trends and inform loan processing improvements.
- Developed Tableau dashboards and Power BI reports to track loan performance, branch KPIs, and digital adoption metrics.
- Built and optimized ETL workflows with Informatica and SSIS to load banking data into enterprise reporting systems.
- Performed data modeling and predictive analysis using Python (Pandas) and R to support customer behavior and risk assessments.
- Automated MIS reporting and scheduled SQL Server stored procedures using Excel VBA and Power Query to reduce manual effort.
- Conducted AML/KYC compliance analysis and reconciliation across Oracle and SQL Server databases to support regulatory reporting.
Blue Cross Blue Shield (BCBS)
Chicago, IL
Data Analyst
Feb 2017 – Dec 2019
Supported healthcare analytics, claims processing, member analytics, and provider performance reporting to improve claims efficiency and regulatory compliance.
Tech Stack: SQL, SQL Server, SAS, Python, Pandas, Scikit-Learn, Tableau, Power BI, Informatica, Alteryx, Azure Data Factory, Snowflake, Excel VBA
- Analyzed healthcare claims and member enrollment datasets using SQL and SAS to identify utilization patterns and operational issues.
- Developed Tableau and Power BI dashboards to monitor claims processing, provider performance, and healthcare quality metrics.
- Built ETL processes with Informatica and Alteryx to consolidate clinical, billing, and enrollment data into central repositories.
- Performed predictive analytics in Python using Pandas and Scikit-Learn to identify claim trends and member risk factors.
- Automated operational reporting with SQL Server stored procedures and Excel VBA to deliver audit-ready reports.
- Implemented cloud data integration using Azure Data Factory and Snowflake to centralize healthcare claims for analytics.
Apollo Hospitals Enterprise Ltd.
Hyderabad, INDIA
Junior Data Analyst / BI Analyst
Feb 2015 – Nov 2016
Delivered hospital operations reporting and patient analytics to support revenue cycle, capacity planning, and operational performance monitoring.
Tech Stack: SQL Server, Oracle SQL, Informatica PowerCenter, Tableau, Power BI, SSRS, JIRA
- Extracted patient and billing data using SQL Server and Oracle SQL to support hospital operations reporting.
- Developed Informatica PowerCenter ETL workflows to transform and load healthcare datasets for reporting.
- Built Tableau and Power BI dashboards to monitor admissions, bed occupancy, and key hospital KPIs.
- Generated MIS reports and automated Excel processes using PivotTables and VBA to streamline reporting.
- Backed SSRS report development and UAT testing through JIRA to ensure accurate BI deliverables.
- Performed data cleansing, profiling, and reconciliation across healthcare systems to improve reporting accuracy.
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