Headline

Data Engineer @ Deloitte | Snowflake Cortex AI • Airflow • dbt • PySpark • AWS | SnowPro Core Certified.

About

Hey there, I am Asad. 🔍 I find sense in rows of data and turn pipelines into superhighways 🏗️ 🚀 About I’m a data engineer driven by the challenge of making complex data ecosystems feel effortless. I love taking raw, scattered information and shaping it into reliable pipelines and clear insights. 🛠️ I work across the modern data stack — orchestrating workflows with Apache Airflow, dbt, Prefect and Dagster; transforming data with Python, PySpark, Pandas and NumPy; building on Snowflake, Redshift, BigQuery, PostgreSQL, and Hive; and deploying on AWS with tools like S3, Lambda and Glue. I’m as comfortable optimizing a Snowflake object as I am designing a Streamlit dashboard or a Flask backend. For me, technology is the medium — the real goal is building platforms that are robust, intuitive and genuinely useful. 💡 Beyond my day job, I’m an avid techie and a hobbyist web developer. I constantly learn new tools, explore new domains and push myself to master them. 🐍 Python is my superpower — from data engineering to automation, APIs, analytics and full-stack prototypes, I can bend it to almost anything. This mix of engineering depth and creative curiosity is what keeps me excited about the work I do and the problems I get to solve. 🤝 I’m always open to connecting with fellow engineers, builders and curious minds — feel free to reach out if you’d like to collaborate, share ideas or just talk tech.

Location

Hyderabad

Work experience

Associate Analyst at Deloitte, Nov 2023 - Present · 2 yrs 6 mos, Hyderabad, Telangana, India, AI/ML Engineering * Architected a multi-agent analytics platform using Snowflake Cortex AI to query 750M+ records via natural language. * Designed a query decomposition system with 94% accuracy for parsing complex prompts into ranked clinical filters. * Engineered a self-healing SQL generator, boosting query speed 9x on 8.5B+ row datasets through data reduction and clustering. * Built real-time Cortex Search lookup for 350K+ clinical codes across 3 vocabularies for cohort definitions. Data Platform Engineering * Automated ELT pipelines for 40+ KPIs using 20+ Airflow DAGs and 25+ dbt models. * Developed a Python framework generating 100+ Snowflake artifacts in under 60 seconds for 200+ KPIs. * Built a fault-tolerant artifact delivery system to SharePoint, sustaining 99% uptime. * Led data discovery across 5+ sources, achieving 99.9% completeness and removing 2.2M+ duplicates.

Education

Bachelor of Science, Computer Science, Graphic Era Deemed to be University

ICSE, North Point Children's School, Muzaffarpur

Public links

github: https://github.com/asdhamidi