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Data Analyst Power Bi

Location:
Indianapolis, IN
Posted:
July 18, 2025

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Resume:

EDUCATION

Tharun Reddy Mudireddy

+1-314-***-**** **************@*****.***

Saint Louis University Aug 2022 - May 2024

Master’s in computer and information science

TECHNICAL SKILLS

• Programming Languages: SQL, Java, Python, R, C#, .NET, Shell Scripting, Bash

• Big Data Technologies: Hadoop, Spark, Spark SQL, Hive, Kafka, HDFS, Databricks, Apache Airflow

• ETL/ELT Tools: Azure Data Factory, SSIS, AWS Glue, Databricks, AirFlow, Stored Procedures.

• Cloud: AWS Lambda, API Gateway, EMR, Step Functions, Kinesis, Redshift, IAM, DynamoDB, S3, CloudWatch, RDS, SNS, SQS, CloudFormation, Terraform, Azure Functions, Serverless Computing, GCP Data Services.

• Databases & Persistence: MySQL, PostgreSQL, MongoDB, DynamoDB, Oracle, SQL Server, Amazon Aurora, AWS Redshift/RDS, Azure SQL, window functions, CTEs, query optimization, Cosmos DB, Hive.

• DevOps & CI/CD Tools: GitLab, Kubernetes, Docker

• Visualization: Power BI, Tableau, Plotly Dash, Matplotlib/Seaborn, Quick Sight

• ML/Stats: Hypothesis Testing, Regression, XGBoost, Random Forest

• Libraries: NumPy, Pandas, Matplotlib, Keras, Scikit-learn, Spark ML, TensorFlow, Seaborn, OpenCV

• Others: Data Modeling, Agile, SOLID, Design Patterns, Debugging, Root Cause Analysis

EXPERIENCE

Ryder Systems Incorporation Sep 2024 - Present

Data Analyst

• Analyzed user behavior (retention, churn, DAU) across 5M+ sessions using optimized SQL queries (CTEs, window functions) in Snowflake/MySQL, driving data-led decisions for product and marketing teams.

• Improved critical business reports by 40% through SQL query optimization (joins, indexes) on 2TB+ datasets.

• Improved reporting efficiency by 30% by leading the development of automated Tableau and Power BI dashboards, integrating data from AWS Redshift, SAP, and NoSQL sources, significantly reducing turnaround time for key business insights.

• Partnered with marketing and data engineering teams to identify and resolve data quality issues, enhancing KPI accuracy and refining tracking methodologies for digital campaigns.

• Applied statistical modeling (Python, R) and machine learning techniques (Spark ML) to build a churn prediction model that improved campaign targeting and increased marketing ROI by 20%.

• Led A/B testing initiatives by defined experiment metrics, automated result analysis via UDFs and stored procedures, and influenced customer segmentation strategies based on statistical outcomes.

• Automated data preparation and analysis workflows (Python/SQL), reducing time-to-insight by 35% for marketing and sales teams.

Evergent Technologies Jul 2020 - Jul 2022

Data Engineer

• Built and optimized scalable data pipelines, leveraging SQL and NoSQL databases (Oracle, SQL Server, MySQL) to improve data ingestion, transformation, and query efficiency.

• Engineered big data and real-time processing solutions using Hadoop, Spark, and Kafka, achieving a 30% gain in processing efficiency and 40% faster query execution through Hive partitioning and RDD tuning.

• Designed and deployed serverless AWS data pipelines with EMR, Glue, Lambda, Kinesis, and Step Functions, reducing ETL latency and operational overhead.

• Enhanced infrastructure security and availability using AWS Redshift, CloudFormation (IaC), and IAM policies for reliable and cost-effective cloud architecture.

• Participated in Agile sprints, code reviews, CI/CD workflows, and collaborated with cross-functional teams to deliver high-quality features and ensure seamless deployments.

• Supported production releases, contributed to documentation, and resolved software issues to improve system stability and user experience.

Levis Strauss & Co Jul 2019 – Jun 2020

Data Engineer

• Managed ETL pipeline development for supply chain planning using SSIS and Azure Data Factory, reducing data processing time by 30% & cutting operational costs by 30% through migration of legacy workflows.

• Orchestrated large-scale data processing using Azure Databricks and automated ingestion of SFTP files (>5GB), live server data, and high-throughput APIs (5,000 records/sec).

• Optimized SQL Server stored procedures, functions, and triggers, improving data processing efficiency by 30%.

• Integrated SQL Server with .NET applications using C# and ADO.NET for seamless data transformation and reporting.

• Designed PowerBI dashboards to track sales, inventory, and supply chain metrics; improved system performance by 20% through optimized data models and queries.

• Ensured data quality and compliance through Azure Monitor, Log Analytics, and governance implementation in Azure Synapse.

• Automated CI/CD pipelines using Azure DevOps, decreasing deployment errors by 35%.

• Managed end-to-end project delivery from planning to deployment, achieving 95% customer satisfaction.

PROJECTS

Real-Time E-Commerce Analytics Pipeline

• Built a low-latency AWS data pipeline (Kinesis, Glue, Redshift) powering Tableau dashboards that boosted conversion rates by 20% through real-time customer behavior insights.

Multi-Cloud Financial ETL Framework

• Architected a hybrid AWS/Azure ETL system (Airflow, Snowflake) that reduced data integration costs by 30% while ensuring full compliance for financial analytics.

Supply Chain Predictive Maintenance

• Developed ML models (XGBoost, TensorFlow) predicting equipment failures with 92% accuracy, cutting downtime by 40% and saving $500K+ annually in maintenance costs.

CERTIFICATIONS

• AWS Certified Solutions Architect Associate.

• AWS Cloud Practitioner.

WORK & LEADERSHIP EXPERIENCE

Saint Louis University

Student leader

• Served as a Student Leader at Campus Dining and Shops, honing project management skills and effectively communicating complex processes to non-stakeholders.

Graduate Teaching Assistant

• Designed SQL-based interactive learning modules, boosting student engagement by 40% & mentoring 50+ students in data analytics.

Inventory Management Analyst

• Automated stock tracking (Python, SQL), cut stockouts by 30%, resolved POS-database sync issues (95% accuracy), and supported SAP MM integration.



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