Naresh Vankayalapati

About Naresh Vankayalapati

Senior analytics and business intelligence professional with ~9 years of experience delivering enterprise-scale, data-driven solutions across Deloitte, Home Depot, Amazon, and Meta.In my current role as a senior individual contributor, I own centralized analytics platforms that support executive decision-making for workplace strategy, space utilization, operational efficiency, and cost optimization across large, globally distributed organizations. My work focuses on transforming fragmented operational data into trusted KPI layers and executive dashboards used for strategic planning and ongoing performance management.I specialize in heavy SQL, data modeling, and BI architecture, with a strong track record of building scalable metrics platforms, curating business-critical KPIs, and enabling leaders to make faster, more informed decisions. I thrive in fast-paced environments, partner closely with cross-functional teams, and consistently deliver high-impact analytics under tight timelines.Previously, I’ve built and owned analytics solutions across supply chain, people analytics, finance, and operations at large enterprises, driving measurable improvements in efficiency, accuracy, and business outcomes.I’m seeking full-time Senior Analytics / Business Intelligence Engineer / Analytics Engineer (analytics-focused) roles where I can continue to own critical metrics, influence strategic decisions, and drive measurable business impact as an individual contributor.Skills: Advanced SQL, Data Modeling, BI Architecture, Executive Dashboards, KPI Design, Tableau, QuickSight, Python, Self-Serve Analytics, Stakeholder Management, Operations & Finance Analytics, Power BI, SAS

Experience

1. Senior Data Analyst

   Alpha Net

   Jul 2022 — Present · Fremont, CA, US

   Client: MetaResponsibilities :Build modern data pipelines, data streaming, and real-time analytics using tools such as Apache Kafka, AWS Kinesis, Spark, Elastic Search, Scuba, Presto, or similar tools. Modify/migrate existing pipelines based on evolving business requirements; build & launch new data extraction, transformation, and loading processes; combine data from various heterogeneous data sources.Build data visualizations and analytics products on top of distributed data technologies like AWS, Hadoop, and Hive data to meet business needs.Partner with internal stakeholders to understand business requirements, work with cross-functional data and product teams across business applications to build efficient and scalable data solutions.

Education

• University of Connecticut School of Business

  Master's degree, Business Analytics and Project Management

  2018 — 2019

• JNTUH College of Engineering Hyderabad

  Electrical and Electronics Engineering

  2011 — 2015

Skills

• C
• Java
• Public Speaking
• Microsoft Office
• Matlab
• Leadership
• Social Media
• Powerpoint
• Microsoft Excel
• Windows
• Teamwork
• Html
• English
• Microsoft Word