Rama Mohan Reddy Pilli
Staff Data Engineer @Kard
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WORK HISTORY
Staff Data Engineer @Kard
New York, NY, US
EDUCATION
University of Utah
Master's in Information Systems, Business Intelligence and Big Data Analytics
Jawaharlal Nehru Technological University
Bachelor of Technology (B.Tech.), Computer Science and Engineering
SKILLS
ABOUT RAMA MOHAN REDDY PILLI
Distinguished Data & AI Leader with 13+ years of expertise in architecting, developing, and implementing large-scale data platforms, AI-driven analytics, and business intelligence solutions.• Recognized industry expert, serving as a Judge, globally through judging panels for international technology and innovation awards (Globee® Awards - Innovation and Leadership) underscoring reputation as a thought leader in Data & AI.• Spearheaded enterprise data transformations by auditing gaps, evaluating POCs, and assessing vendors (build vs buy) to deliver robust, scalable, and cost-efficient data and AI platforms.• Proven record of designing multi-petabyte data lakehouses, real-time streaming systems, and scalable Machine Learning pipelines using modern data ecosystems, including AWS, Azure, Snowflake, and Databricks Delta Lake.• Proficient in distributed data processing with PySpark and skilled in leveraging Python, SQL, dbt, and Airflow to design and orchestrate efficient data engineering and MLOps workflows.• Strong knowledge of ETL/ELT processes, RDBMS concepts, data & dimensional modeling, schema design, SCD types, performance tuning, and query optimization techniques.• Enabled advanced analytics and AI adoption by ensuring data quality, operationalizing insights at scale, and delivering impactful visualizations through Tableau and Power BI.• Contributor for data science enablement to optimize predictive modeling, Natural Language Processing (NLP), and AI-driven analytics, optimize workflows, implement feature engineering strategies, and integrate predictive and generative AI solutions into production systems.• Accomplished mentor and leader, driving cross-functional collaboration, recruiting top data talent, building and scaling high-performing data teams, and fostering a culture of innovation, data-driven excellence, self-service analytics, and responsible AI adoption across cross-functional business units.• Skilled at navigating dynamic environments, resolving ambiguity, and delivering impactful outcomes through strong problem-solving, analytical skills, and Agile project management expertise.
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