Nehal Khatib

About Nehal Khatib

Snowflake enthusiast and Data Engineer with 4+ years architecting cloud-native solutions that harness Cortex AI for smarter querying and optimization. From building a groundbreaking Streamlit Query Optimizer app inside Snowflake—leveraging COMPLETE and SENTIMENT functions to slash query times by up to 60%—to orchestrating real-time pipelines, I\'ve turned complex data challenges into scalable wins in logistics and finance. Snowflake & Cortex AI Core: Powering Intelligent Data WorkflowsPioneered a Streamlit-based Query Optimizer app natively in Snowflake, integrating Cortex AI (COMPLETE for query rewriting, SENTIMENT for performance insights) to auto-detect and refine long-running queries—deployed across teams, reducing average execution times by 50-60% on 10TB+ datasets while enabling one-click optimizations.Mastered Snowpipe for continuous ingestion from AWS stages, combined with Streams & Tasks for CDC automation—built resilient pipelines for CMA CGM, ingesting 1TB+ daily logistics data with <5-min latency and 99.9% uptime.Engineered DML operations and SQL tuning via Snowflake\'s micro-partitions and clustering, incorporating Cortex Analyst for semantic modeling—optimized warehouse queries for Allianz GI, boosting BI report speeds by 60% and cutting credit consumption by 25%. Streamlit & App Development: User-Centric Snowflake InnovationDeveloped GRIDUI, a Streamlit app for direct DML table management in Snowflake, and a Credit Consumption Tracker with real-time Streams dashboards—empowered ops teams to monitor and optimize resources, saving $10K+ monthly in credits.Parameterized ELT flows with Python for seamless SAP BW migrations into Snowflake—executed 10+ process chains with zero-downtime, powering finance analytics with enhanced data integrity. Technical Stack: Snowflake-First with Legacy SynergiesSnowflake Ecosystem: Cortex AI (COMPLETE, SENTIMENT, Analyst), Snowpipe, Streams & Tasks, Streamlit Apps, Warehouse Optimization, SQL Tuning, Data Ingestion.Tools & Languages: Python, SQL.Domain Expertise: SAP BW/HANA Migrations, SAP GUI.My journey—from SAP BW foundations to Snowflake\'s AI-driven frontier—has delivered measurable ROI, like 40% latency drops in shipping ops and flawless process chains in investments.Connect if you\'re building innovative Snowflake teams—let\'s optimize queries and ignite innovation together!#Snowflake #CortexAI #DataEngineering

Experience

1. Technology Analyst

   Infosys

   Apr 2025 — Present · Pune, IN

   Technology AnalystInfosys |[10th March 2022] – PresentProject: CMA CGM – MyPAM Fake BL Generation | SnowflakeI’m currently working on a Snowflake development project for CMA CGM, a global shipping company. The goal is to automate the creation of Fake Bills of Lading (BL) in the MyPAM system.What I do: • Build data pipelines using Snowflake, SQL, Snowpipe, Tasks, and Streams • Create logic to generate Fake BLs based on unique shipping data • Integrate data with finance systems for smooth reporting • Write and optimize SQL queries for better performance • Work with teams to meet business and technical needsThis role helps me grow in cloud data platforms, SQL development, and real-time data processing.

Education

• Shri Ramdeobaba College of Engineering and Management

  Master's degree, Structural Engineering

• Vidarbha Youth Welfare Society's Polytechnic Badnera

  High School Diploma, Civil Engineering

  2013 — 2016

• Prof Ram Meghe College of Engineering & Management, Badnera Rly

  Bachelor's degree, Civil Engineering

  2016 — 2019