Pruthvi Tatikonda is a highly accomplished Senior Data Engineer with over 17 years of expertise spanning the full software development lifecycle, including analysis, design, development, testing, and production support. With a strong foundation in data architecture and engineering, he has consistently delivered scalable, high-performance solutions that align with business objectives and drive actionable insights.
Throughout his career, Pruthvi has demonstrated deep technical expertise across cloud platforms, big data ecosystems, and modern ETL/ELT frameworks. He specializes in architecting robust data infrastructures, designing advanced analytics solutions, and enabling organizations to modernize legacy systems through cloud migration and data lake implementations. His proficiency includes AWS, Azure, Hadoop, Spark, Kafka, NoSQL databases, and enterprise-grade ETL tools such as Informatica, Pentaho, Streamsets, and Datastage.
Pruthvi’s career highlights include leading data remediation pipelines at Wells Fargo, modernizing data architecture for Dutch Bros Coffee, and building enterprise-level data solutions at Early Warning Services, Fidelity Investments, Infosys, TCS, and VISA. He has also contributed significantly to the healthcare and financial sectors, ensuring data integrity, security, and compliance while enabling real-time analytics.
Recognized as both a technical expert and a collaborative leader, Pruthvi excels at bridging the gap between engineering and business teams. He has successfully led cross-functional groups, mentored engineers, and provided strategic direction on data governance, security, and architecture modernization. His skills extend to advanced data modeling, job scheduling and automation, CI/CD practices, and data visualization with Tableau and Power BI.
Holding certifications including Six Sigma Green Belt, AWS Developer, and Healthcare Domain expertise, Pruthvi combines technical depth with process excellence. With a B.Tech in Electronics and Communication Engineering, he continues to drive innovation in data engineering, enabling organizations to unlock the full potential of their data assets.