Mr. Shishir Tewari | Big Data Analytics | Outstanding Contribution Award
Mr. Shishir Tewari | Big Data Analytics β Procore Technologies | United States
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π¨βπΌ Professional Summary
Shishir Tewari is a highly accomplished Senior Engineering Manager with over 19 years of experience in software development, data engineering, and business intelligence. He has a proven track record of building and leading high-performing teams to deliver scalable, cloud-native data platforms that power enterprise decision-making. Shishir is known for his deep expertise in data warehousing, real-time analytics, and AI/ML-driven data solutions, consistently aligning technical strategy with business goals to drive innovation and operational excellence.
π’ Work Experience
At Procore Technologies, Shishir leads the design and implementation of next-generation Master Data Management (MDM) and Marketing Analytics platforms, integrating AI/ML technologies to ensure data accuracy and accessibility. Previously at Google, he managed the Finance Data Universe on GCP, leading a global team to build data pipelines that processed over 100 petabytes of data, optimizing financial reporting and revenue forecasting. At Amazon, he engineered high-scale advertising data infrastructure, reducing costs and improving system performance significantly. His experience also spans financial giants like Morgan Stanley and JP Morgan Chase, where he built robust data ecosystems for compliance and regulatory reporting.
βοΈ Technical Expertise
Shishir brings strong technical acumen across modern data stacks. He is proficient in cloud platforms like AWS (S3, Redshift, Lambda) and GCP (BigQuery, Composer, IAM), and skilled in big data technologies such as Spark, Hive, HDFS, and Databricks. He is also experienced in ETL tools like Informatica, SSIS, and BI platforms like Tableau and SAP BO. His programming knowledge includes Python, SQL, and C#, and he regularly applies data science libraries such as Pandas, Scikit-learn, and TensorFlow to solve complex business challenges.
π Special Projects & Achievements
Shishir led the migration from Snowflake to Databricks at Procore, boosting performance and enabling real-time data capabilities. At Amazon, his cost optimization strategies reduced monthly data storage costs by 80%. He also developed financial and statistical models for liquidity stress testing at Morgan Stanley using Python, and optimized advertising pipelines that supported over $100M in deals.
π Education
Shishir holds a specialization in Data Science and Analytics from Rutgers University, NJ, completed in 2019. He earned his Bachelor of Technology in Information Technology from UPTU, India in 2006 with a strong academic record.
π€ Leadership & Collaboration
As a passionate leader, Shishir emphasizes team empowerment, cross-functional collaboration, and mentorship. He has successfully managed and scaled engineering teams across geographies, fostering a culture of continuous improvement and agile delivery. His collaborative approach ensures alignment between technical solutions and strategic business objectives.
π οΈ Core Competencies
His key skills include Data Architecture, Cloud Data Platforms, ETL Development, Machine Learning Integration, Technical Strategy, and Agile Methodologies. Shishir is also well-versed in data governance, compliance, and process automation, which makes him a well-rounded engineering leader.
π Selected Publications
Title: AI Powered Data Governance – Ensuring Data Quality and Compliance in the Era of Big Data
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Authors: S. Tewari
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Journal: Journal of Artificial Intelligence General Science (JAIGS), ISSN: 3006-4023
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Year: 2025
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Title: Operationalizing Explainable AI in Business Intelligence: A Blueprint for Transparent Enterprise Analytics
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Authors: A. Chitnis, S. Tewari
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Journal: Iconic Research and Engineering Journals
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Year: 2024
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Title: AI and Multi-Cloud Compliance: Safeguarding Data Sovereignty
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Authors: S. Tewari, A. Chitnis
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Journal: Iconic Research and Engineering Journals
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Year: 2024
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Title: Scalable Metadata Management in Data Lakes Using Machine Learning
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Authors: S. Tewari
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Journal: Iconic Research and Engineering Journals
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Year: 2023
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Title: AI-Powered Financial Forecasting: Enhancing Accuracy with Machine Learning in Enterprise System
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Authors: S. Tewari
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Journal: Journal of Emerging Technologies and Innovative Research
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Year: 2023
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