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Sadique TimileyinST
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Sadique Timileyin

@sadiquetimileyin

Data Engineer building scalable ETL/ELT pipelines and real-time cloud data solutions across Azure, GCP, AWS.

Nigeria
Message

What I'm looking for

I’m looking for a role where I can build reliable, high-performance data pipelines in cloud environments, using ETL/ELT, orchestration, testing, and CI/CD to deliver analytics-ready models and real-time insights.

I’m a Data Engineer with 3+ years of experience building and optimizing scalable ETL/ELT pipelines and cloud-based data solutions across Azure, GCP, AWS, and Snowflake. I focus on improving data reliability, performance, and analytics readiness from end-to-end workflows.

In recent roles, I developed an end-to-end Azure ETL pipeline using Data Factory, Databricks (PySpark), Data Lake, and Synapse to process 15 years of NYPD arrest data—strengthening analytical readiness and enabling equity-focused insights. I also built a real-time sales data pipeline on Google Cloud (Cloud Functions + BigQuery) to eliminate manual reporting and deliver up-to-date dashboards.

I bring strong expertise in Python, SQL, PySpark, data modeling (Kimball), and orchestration (Apache Airflow, Azure Data Factory), plus real-time processing with Kafka. From optimizing SQL queries (e.g., indexing and partitioning) to building data warehousing and dashboarding with tools like Looker Studio and Grafana, I aim to turn complex data into clear, decision-ready outcomes.

Experience

Work history, roles, and key accomplishments

AL
Current

Data Engineer

10Alytics

Jan 2025 - Present (1 year 6 months)

Developed an end-to-end Azure ETL pipeline using Data Factory, Databricks (PySpark), Data Lake, and Synapse to process 15 years of NYPD arrest data. Built a real-time sales data pipeline on Google Cloud with Cloud Functions and BigQuery, and designed a Python + PostgreSQL pipeline aggregating movie data from APIs/web sources.

DE

Data Engineer

Data Epic

Oct 2023 - Jan 2025 (1 year 3 months)

Migrated large datasets from Google Sheets to PostgreSQL to improve data integrity, scalability, and accessibility. Designed a Netflix recommendation ETL pipeline with Flask integration and a Solana blockchain analytics project using Kimball modeling and Looker Studio, and optimized SQL queries with indexing and partitioning to reduce execution time by 40%.

Education

Degrees, certifications, and relevant coursework

Sadique hasn't added their education

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