Work Experience

My professional journey in data engineering and analytics, showcasing my growth and achievements.

Jr. Consultant/Data Analyst

Mckinsey & Company

April 2025 - presentFL, USA

Built robust, real-time data pipelines and analytics solutions enhancing strategic insights.

•Developed ETL pipelines with AWS Glue and PySpark on Azure Databricks, processing 12TB monthly for real-time supply chain analytics.

•Built Power BI dashboards integrated with Kafka, significantly reducing decision-making time for multiple client departments.

•Automated data validation processes using PySpark, eliminating hundreds of quarterly data quality issues.

AWS Glue

PySpark

Azure Databricks

Apache Kafka, SQL

Power BI

Graduate Teaching Assistant

Florida UniversityInternational

August 2023 - December 202024Miami, FL

Conducted in-depth data analysis and created dashboards to inform strategic decisions.

•Managed 15+ Power BI dashboards, delivering insights into sales performance and customer behavior.

•Performed extensive SQL analysis on datasets exceeding 1 million records, facilitating business strategy decisions.

•Applied data mining techniques on financial transaction data to uncover key insights and support product development.

SQL Server

T-SQL

Power BI

Data Mining Techniques

Python

Data Analyst

infosys

September 2021 - January 2023Hyderabad, India

Developed advanced analytics and automated ETL solutions enhancing data integrity and operational efficiency.

•Automated ETL workflows using Apache Airflow, significantly improving system reliability.

•Built predictive analytics models using R for risk assessment and operational planning.

•Scaled data infrastructure with AWS Redshift, optimizing performance for workloads over 15 TB.

Apache Airflow

AWS Redshift

SQL

Python

VBA

ArcGIS

Alation

Oracle DB

Data Analyst

oh-look

july 2020 - August 2021Hyderabad, India

Optimized SQL database performance through query refinement, indexing, and improved data retrieval.

•Automated ETL workflows using Apache Airflow, significantly improving system reliability.

•Strengthened PostgreSQL database security with role-based controls, encryption, and compliance measures.

•Automated reporting and analytics workflows using Excel macros and Python (Pandas), streamlining operations

PostgreSQL

SQL

Python (Pandas)

Excel (PivotTables, Macros, VLOOKUP)

Power Query