Chandra Sekhar Aruru

About Chandra Sekhar Aruru

Dynamic and results-driven IT professional with over 15 years of experience in the industry, specializing in various phases of the Software Development Life Cycle (SDLC). Expertise in both traditional and modern BI architecture, ETL processes, and interactive reporting. Proven track record in leading teams, mentoring resources, and delivering high-quality solutions using DWH Azure cloud technologies. Passionate about leveraging my extensive experience and skills to transition into a Data Architect role, driving innovative data solutions and strategies to empower organizations.

Experience

1. Lead Data Engineer

   Optum

   Nov 2025 — Present · Dallas, TX, US

   Analyze client data requirements and translate them into scalable data architecture designs.2. Develop, build, and maintain complex ETL/ELT pipelines to ensure reliable and efficient data flow.3. Implement data quality checks and validation processes to guarantee accuracy and consistency of data.4. Design and manage data storage solutions including data lakes, warehouses, and databases.5. Troubleshoot data pipeline failures and fix errors promptly to minimize business impact.6. Collaborate closely with data scientists, analysts, and stakeholders to understand business needs and optimize data solutions.7. Monitor and optimize the performance and scalability of data infrastructure and pipelines.8. Automate manual data processes and workflows using orchestration tools like Apache Airflow or similar.9. Evaluate and integrate new data technologies, tools, and frameworks to improve system capabilities.Provide technical leadership to data engineering teams by guiding architectural decisions, reviewing designs, and ensuring best practices are followed.10. Mentor and coach junior and mid-level engineers, fostering skill development and promoting high engineering standards.11. Own end-to-end delivery of complex data initiatives, ensuring timelines, quality, and stakeholder expectations are met.12. Define and enforce coding standards, data governance practices, and operational guidelines across the data engineering function.13. Drive strategic planning for data platforms, including capacity planning, scalability considerations, and long-term architectural evolution.

Education

• University of Madras

  Master of Computer Applications - MCA, Computer Science

• Osmania University

  Bachelor of Commerce - BCom