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Kamil Shaikh

@kamilshaikh

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Data Engineer specializing in Azure, Snowflake, dbt, and scalable production data pipelines.

India

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What I'm looking for

I seek a remote-first engineering role building scalable data platforms and pipelines, emphasizing data quality, automation, and measurable business impact.

I am a Data Engineer focused on building production-grade data platforms using Azure, Snowflake, dbt, and PySpark. I design and optimize Lakehouse architectures and ETL/ELT pipelines that reliably process millions of records daily and support near real-time analytics.

At Thomson Reuters I architected dbt models and optimized storage and query strategies to process 5M+ records daily, cut dashboard latency by 45%, reduced manual reconciliation by 40+ hours/month, and standardized CI/CD with GitHub Actions to achieve a 99.9% deployment success rate.

I take a data-quality-first approach—implementing dbt tests and Great Expectations—and enjoy delivering measurable business impact through dimensional modeling, Delta Lake medallion patterns, and automated data quality suites.

Experience

Work history, roles, and key accomplishments

Data Engineer

Thomson Reuters

Aug 2025 - Feb 2026 (6 months)

Architected production dbt models and optimized Snowflake/Delta Lake pipelines processing 5M+ records daily, reducing dashboard latency by 45% and eliminating 40+ hours/month of manual reconciliation.

Snowflake DBT Pyspark Delta Lake GitHub Actions SQL Great Expectations Azure Data Factory

Data Engineer

Thomson Reuters

Aug 2025 - Feb 2026 (6 months)

Designed scalable workforce data marts and reusable dbt macros to reduce manual reporting by 50% and improve Power BI refresh speeds by 20% for high-concurrency dashboards.

DBT SQL Power BI Pyspark Data Warehousing Azure Data Factory Performance Tuning

Data Science Intern

Interns Elite

Jan 2024 - Mar 2024 (2 months)

Built a predictive churn model using Scikit-learn and performed EDA and feature engineering, improving model accuracy by 20% and boosting analytical efficiency for stakeholders by 25%.

Python scikit learn Pandas EDA Matplotlib Model Evaluation Data Visualization

Education

Degrees, certifications, and relevant coursework

CDAC Bangalore

PG-Diploma in Big Data Analytics, Big Data Analytics

2024 - 2025

Grade: 7.9/10

Postgraduate diploma in Big Data Analytics covering Hadoop, Apache Spark, machine learning, cloud computing, and data visualization; achieved CGPA 7.9/10.

North Maharashtra University

Bachelor of Engineering, Computer Science & Engineering

2019 - 2023

Grade: 8.68/10

Bachelor of Engineering in Computer Science & Engineering with coursework in DBMS, operating systems, networks, and software engineering; graduated with CGPA 8.68/10.