Sai Nikhil Pilli

About Sai Nikhil Pilli

I am a results-driven Data Engineer with a strong command of modern cloud data technologies and a passion for building scalable, automated, and high-quality data ecosystems. I specialize in translating complex business requirements into reliable, production-ready data pipelines using the latest tools in the modern data stack.My technical foundation spans Snowflake, SQL Server, dbt, Apache Airflow, and enterprise data modelling frameworks. I focus on creating data systems that are fast, flexible, governed, and built for long-term growth.Core Strengths• SQL & Data Engineering: Transforming legacy SQL Server logic into optimized Snowflake architectures; refactoring dynamic SQL; improving performance and maintainability.• dbt & Semantic Layer: Developing modular models, governed transformations, and reusable metric definitions that support consistent analytics.• Airflow Orchestration: Building end-to-end pipelines with reliable DAG structures, dependency patterns, best practices, and automated recovery mechanisms.• Data Modelling: Applying Data Vault 2.0 principles for scalable enterprise modelling and long-term extensibility.• Automation & Scheduling: Skilled with tools like Active Batch to orchestrate mission-critical workloads across platforms.• Customer Data Platforms: Expanding into Salesforce Data Cloud with a focus on ingestion, identity resolution, harmonized models, and customer 360 activation.How I Create Impact• Converting vague business needs into clear, structured, scalable data designs.• Improving data quality, removing bottlenecks, and optimizing compute costs.• Designing pipelines and models that are maintainable, future-proof, and analytics-ready.• Bringing a strong analytical mindset and a continuous learning attitude to every project.• Building data systems that empower decision-makers and unlock enterprise-wide insights.What I’m Looking ForI’m open to global opportunities involving:• Cloud data platform modernization• Snowflake + dbt + Airflow engineering• Scalable data modelling (Data Vault 2.0)• Enterprise data orchestration & automation• Customer 360, unified data layers, and governed metricsIf your organization is evolving its data landscape or building modern analytics capabilities, I’d be happy to connect.

Experience

1. Consultant

   Deloitte

   Oct 2025 — Present · Hyderabad, IN

Education

• Narayana Institute

  Secondary education, 10th

  2013 — 2014

• International Institute of Information Technology Bangalore

  Executive post graduate program in data science, data science

• Narayana Institute

  Intermediate, MPC

  2014 — 2016

• KL University

  Bachelor of Technology, Computer Science

  2016 — 2020

• Liverpool John Moores University

  Master of Science - MS, Data science