Senior Data Analyst building
high-impact enterprise solutions
Specializing in cloud architecture, ETL engineering, and strategic BI reporting to drive revenue and operational efficiency.
About Me
I’m a Senior Data Analyst engineering cloud-based platforms that support executive decision-making.
My work focuses on data warehousing, KPI governance, and financial analytics—helping organizations move from fragmented reporting to trusted, auditable insights at enterprise scale.
Master of Science, MIS
Christian Brothers University • GPA: 3.88
Data Engineering
Architecting robust ETL pipelines and Snowflake warehouses that ensure data integrity and accessibility.
Strategic Analytics
Translating complex datasets into intuitive Power BI dashboards that drive high-level executive decision-making.
Process Automation
Replacing manual Excel workflows with automated Python & SQL scripts to reduce error and save hundreds of hours.
Professional Experience
A track record of engineering data systems and delivering strategic insights across global enterprises.
Senior Data Analyst & BI Specialist
Startech Networks • Memphis, TN, USA
- BI Strategy: Designed and delivered enterprise KPI dashboards (Power BI, Tableau), consolidating multi-source data into centralized reporting, improving decision-making efficiency by 35%.
- ETL Engineering: Built and optimized ETL pipelines using Azure Data Factory and Databricks, reducing manual data processing efforts by 40%.
- SQL Performance: Developed complex SQL queries, stored procedures, and views, reducing dashboard refresh times by 30% through query tuning and Snowflake warehouse scaling.
- Big Data: Engineered large-scale data transformations using PySpark, enabling efficient processing of high-volume datasets for downstream analytics.
- Data Quality: Implemented validation frameworks (SQL, SAS) and performed source-to-target reconciliation across Oracle, SQL Server, and Snowflake, ensuring 99.9% accuracy.
- Governance: Established data governance processes using Collibra, documenting data lineage, metadata, and business rules to support compliance and audit readiness.
- Real-time Analytics: Developed monitoring dashboards in Azure Data Explorer (KQL) that enabled teams to resolve performance issues 30% faster.
Data Analyst
Tek Leaders • Hyderabad, India
- Modernization: Migrated legacy reporting systems (Oracle Discoverer) to Tableau, modernizing analytics infrastructure and improving accessibility.
- Predictive Analytics: Developed and deployed predictive models (regression, clustering, time-series) that improved quarterly forecasting accuracy by 20%.
- EDA & Python: Performed exploratory data analysis using Python (Pandas, NumPy), uncovering trends that improved pricing and operational strategies.
- Automation: Automated data cleansing and preprocessing pipelines (Python, SQL), reducing manual effort by 35% and improving data preparation speed.
- Governance: Implemented Collibra-based metadata and governance workflows, ensuring data transparency and source-to-target mapping consistency.
- Fraud Detection: Analyzed large insurance and telecom datasets using SQL, identifying fraud patterns and operational inefficiencies.
SQL Developer
Qualcomm • Hyderabad, India
- Database Engineering: Designed and developed tables, indexes, views, and stored procedures that reduced report generation time by 30%.
- Query Optimization: Built and optimized complex SQL queries and indexing strategies, improving database performance by 40%.
- OLAP Modeling: Developed OLAP cubes using SSAS for multidimensional analysis, reducing finance team report generation time by 60%.
- Cloud Migration: Supported data migration and system upgrades on AWS EC2 by validating and reconciling data across environments with zero data loss.
- Automation: Automated ETL and reporting workflows using SQL and UNIX scripts, improving consistency and reducing manual intervention.
Education
Christian Brothers University
Master of Science, Computer Information Systems (GPA: 3.88)
Jawaharlal Nehru Technological University
Bachelor of Technology, Computer Science (GPA: 3.60)
Key Achievements.
Measurable impact delivered through data engineering and analytics.
Reduced report generation time by 60% for finance teams using SSAS OLAP modeling.
Improved decision-making efficiency by 35% through centralized enterprise KPI dashboards.
Automated ETL pipelines via Azure Data Factory and Databricks, reducing manual effort by 40%.
Identified $1.2M at-risk revenue by processing 3M+ Snowflake transactions with 99.9% accuracy.
Certified: Power BI Data Analyst Associate (PL-300) & Azure Data Fundamentals (DP-900).
Technical Arsenal
A highly specialized toolkit engineered for scalable analytics, complex data modeling, and executive BI.
Data Engineering & ETL
Data Governance & Quality
BI & Data Visualization
Analytics & Big Data
Selected Case Studies
End-to-end architectures demonstrating business ROI through data.
Enterprise Credit Risk & Portfolio Health Analytics
Built a high-scale risk detection engine processing 3M+ Snowflake transactions, identifying $1.2M at-risk revenue while reducing false positives by 20%.
Student Retention Intelligence Engine
Deployed a churn prediction microservice (Docker + Scikit-Learn) with 89% accuracy, contributing to $2M+ in retained tuition revenue.
Market Opportunity & Consumer Behavior Analysis
Strategic market analysis using SQL and Power BI to identify high-value expansion zones and optimize pricing strategies.
Ready to collaborate?
Unlock the potential of your data. Let's discuss how I can help your team.
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