Senior Data Engineer with Cloud & BI Focus

Rahul Neelakantam

*****************@*****.*** • 972-***-**** • Forney, TX (Open to Relocate) • LinkedIn Summary

Data Engineer with 5+ years of experience in designing ETL/ELT pipelines, developing data models, and implementing cloud-based data solutions. Proficient in SQL, Python, Snowflake, dbt, Airflow, Azure, and AWS with strong expertise in BI tools including Tableau and Power BI. Background in data analysis, predictive modeling, and KPI reporting across finance and healthcare domains. Education

Master of Science, Advanced Data Analytics Aug 2022 - May 2024 University Of North Texas Denton, TX

Bachelor of Technology, Computer Science and Engineering Aug 2016 - Sep 2020 Jawaharlal Nehru Technological University Hyderabad, India Skills

• Programming & Data: Python (Pandas, NumPy, PySpark), SQL, R

• ETL / Data Engineering: dbt, Airflow, Azure Data Factory, AWS Glue, SSIS, Informatica (exposure)

• Databases & Cloud: Snowflake, SQL Server, MySQL, Redshift, BigQuery, Azure Data Lake, AWS S3

• Visualization & Reporting: Tableau, Power BI, Excel (Pivot Tables, Power Query, Macros)

• ML / Statistics: Regression, Forecasting, A/B Testing, Scikit-learn (basics)

• DevOps & Tools: Git, Jenkins, Docker, Jira, Confluence

• Concepts: Data Warehousing, ELT/ETL, Data Modeling, Metadata, Quality, Governance, Agile/Scrum

• CERTIFICATIONS: CISCO – IT Essentials, DataCamp – SQL, Python & R Programming, Coursera – AI for Everyone, AWS Certified Developer – Associate Experience

Capital One Financial USA

Data Engineer Jul 2024 - Current

• Designed and managed scalable ETL/ELT pipelines with SQL, Python, Azure Data Factory, and Airflow to integrate structured and semi-structured data from databases, APIs, and flat files.

• Implemented data models in Snowflake for analytics and self-service BI, optimizing performance with clustering, partitioning, and query tuning.

• Built data orchestration workflows with Airflow to automate scheduling, logging, and monitoring of pipelines, improving reliability and reducing downtime.

• Collaborated with finance, risk, and compliance teams to deliver datasets supporting regulatory reporting, KPI dashboards, and forecasting models.

• Integrated cloud infrastructure with AWS S3, Lambda, and Redshift, supporting high-volume data storage and transformation.

• Partnered with BI teams to publish curated datasets and semantic layers in Power BI and Tableau, enabling faster insights and reducing ad-hoc reporting requests.

• Ensured quality, lineage, and governance implementing validation, error handling, and audit logs.

• Contributed to Agile sprints, documenting data flows and providing demos to business stakeholders. DXC Technology, India

Data Analyst Jul 2019 – Jul 2022

• Developed interactive dashboards in Tableau and Power BI to track sales, marketing, and healthcare KPIs such as conversion, churn, and revenue trends.

• Built and deployed ELT pipelines with dbt and Snowflake, integrating data from SQL Server, Excel, APIs, and web analytics, reducing manual reporting effort by 40%.

• Conducted predictive modeling and customer segmentation using Python (Scikit-learn, Pandas), supporting marketing campaign optimization and revenue growth.

• Performed data profiling, anomaly detection, and cleansing to improve reporting reliability and accuracy across heterogeneous datasets.

• Designed and standardized KPI frameworks and metrics layers, improving consistency across 300+ business users and reducing data silos.

• Automated routine ETL workflows and pipeline monitoring using Airflow and dbt, improving reliability and reducing manual intervention.

• Worked with cross-functional teams (product, sales, marketing) to translate requirements into business intelligence solutions, reports, and ad-hoc analyses.

• Documented data flows, maintained data dictionaries, and contributed to knowledge-sharing sessions for new team members.

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