Data Engineer/Analyst

Celina, TX *****

629-***-**** ***************@*****.*** WWW: linkedin.com/in/sreejareddynomula

Results-driven data professional with over 4 years of experience in data engineering and analytics, specializing in building scalable ETL pipelines using Airflow, Snowflake, and AWS. Proficient in Python and SQL for data transformation and automation, with hands-on expertise in real-time data processing using Kafka and Spark. Skilled in developing insightful dashboards with Tableau and Power BI to support data-driven decision-making. Strong focus on data quality, cross-functional collaboration, and delivering actionable, business-aligned insights. 03/2025 - CurrentUrbanCrewIT LLC Denton, TX

Data Engineer/Analyst

Designed and deployed robust ETL pipelines using Python and Apache Airflow, aggregating daily banking transactions, app events, and subscription data into Amazon Redshift to support real-time analytics and reporting. Built a scalable, modular data model in Snowflake to enable comprehensive KPI tracking, including user engagement, feature adoption, conversion funnels, and customer lifetime value, improving product strategy.

Developed dynamic dashboards in Power BI and Tableau for cross-functional teams, delivering actionable insights into user churn, high-usage features, and customers' pending behavior that shaped roadmap prioritization. Identified a key behavioral pattern that users setting savings goals within the first five days were 2.4 times more likely to subscribe, which led to a redesigned onboarding flow and increased early conversion rates.

02/2024 - 02/2025 VensaTek LLC McKinney, TX

Data Analyst

Developed and validated financial and credit risk models using statistical techniques and domain knowledge, generating actionable insights that informed lending strategies and business development efforts.

Designed and optimized Tableau and Excel dashboards to visualize credit exposure, risk trends, and portfolio performance, enabling leadership to make timely, data-driven decisions.

Enhanced reporting speed and accuracy by refactoring complex SQL queries, improving relational database structures, reducing data retrieval time by 30%, and improving analysis quality.

Automated recurring financial workflows using Python and SQL, minimizing manual intervention, increasing process reliability, and ensuring consistent data integrity across reports.

Partnered with senior stakeholders to modernize financial reporting systems, streamline data pipelines, and align analytics processes with strategic business goals. Sreeja Reddy Nomula

Summary

Experience

01/2022 - 12/2023 Middle Tennessee State University Murfreesboro, TN Graduate Assistant

Assisted professors in teaching 'Introduction to Business Analytics,' improving student performance on Excel-based financial modeling and Tableau assignments by 20%. Guided financial and business analytics projects, improving analytical decision-making skills.

Facilitated student understanding of financial data interpretation using Excel, dashboards, and Power BI.

Acted as a communication bridge between students and faculty, enhancing organizational efficiency and engagement.

06/2020 - 12/2021 Cognizant Technology Solutions Tamilnadu, India Associate Programmer Analyst

Led financial technology projects, ensuring system uptime, and data integrity in payment processing and financial transactions.

Optimized SQL queries for financial databases, enhancing data retrieval efficiency and accuracy in investment-related analyses.

Implemented Python-based ETL processes for financial data processing, ensuring smooth integration with analytical systems.

Designed and implemented monitoring solutions for financial systems, reducing downtime, and enhancing operational efficiency.

03/2019 - 08/2019 Red Hat Hyderabad, India

Cloud Data Intern

Designed and implemented a data-driven access control system with secure authentication, utilizing Excel for data analysis, and PowerPoint for reporting insights. Managed and analyzed data efficiently using SQL, creating interactive Tableau dashboards to drive business decisions and support strategic initiatives. Developed robust security protocols to mitigate vulnerabilities, and implemented role-specific access controls for secure data management and operations. Prepared detailed reports and presentations in PowerPoint to communicate findings and recommendations to stakeholders.

Employee Attrition (Data Analysis) Excel Tableau Data Cleaning Developed an interactive Employee Attrition dashboard to analyze patterns across 1,470 employees, using visualization tools to highlight key attrition drivers such as job satisfaction, work environment, tenure, and marital status. Identified actionable insights for HR teams by segmenting attrition data across dimensions like job role, department, gender, and education field, empowering data-driven retention strategies.

Applied advanced data visualization techniques (heat maps, tree maps, bar charts) to effectively communicate workforce trends, enabling leadership to monitor high-risk attrition zones in real time.

Enhanced stakeholder decision-making by designing dynamic filters and drill-down capabilities, allowing users to interact with and explore attrition data by gender, Projects

department, and job role.

Decentralized Access Management with Anonymous Authentication of Information Stored in Cloud Cloud Computing

Implemented decentralized access control in cloud environments, reducing security incidents and ensuring robust data protection with decentralized key distribution. Mitigated security threats, significantly reducing wrapping attacks, malware injection, flooding attacks, and replay attacks.

Developed advanced security protocols using two-factor authentication and attribute-based encryption to enhance cloud data security and prevent vulnerabilities. Programming and scripting: Python

(NumPy, Pandas, PySpark), SQL, Java,

JavaScript, REST API

Frameworks and development: React,

Spring Boot, JUnit, Mockito, and

SonarQube

Data and analytics: Tableau, Power BI,

Excel, Google Suite, Jupyter Notebooks,

regression analysis, and clustering

Databases and warehousing: PostgreSQL,

MySQL, MongoDB, AWS Redshift, and

Snowflake

Big data and cloud tools: Apache Spark,

Kafka, AWS (S3, Glue), and Databricks

ETL and orchestration: Apache Airflow,

Informatica, dbt, Control M

DevOps and CI/CD: Docker, GitHub

Actions, Anaconda, Postman, Visual

Studio

Collaboration and methodologies: JIRA,

GitHub, Agile, Waterfall, operating

systems: Windows, Linux, Mac OS

12/2023 Middle Tennessee State University Murfreesboro, TN Master of Science: Information Systems

09/2020 Guru Nanak Institutions Technical Campus (JNTU) Hyderabad, India Bachelor of Technology: Information Technology

Decentralized Access Management with Anonymous Authentication of Information Stored in the Cloud,

IJAEMA-The International Journal of Analytical and Experimental Modal Analysis, https://app.box.com/s/yh9er5sv1zl57as5oo6chjfl1k8kohwr 0886-9367, 12, 3, 03/01/20, 1899-1906

Microsoft Power BI Data Analyst.

Data Analytics BootCamp

Cloud Computing in Red Hat Academy.

IOT in smart bridge with IBM Cloud.

Skills

Education

Publications

Certifications

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