Timileyin S.

Data Engineer

Available for part-time

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Bio

Timileyin S. is a Data Engineer with several years of experience in designing and optimizing scalable ETL and ELT pipelines and building cloud-based data solutions. He is proficient in Python, SQL, PySpark, and uses these technologies to build data pipelines, real-time processing systems, and analytics platforms. Timileyin utilizes Azure Data Factory, Apache Airflow, and Databricks for orchestration and data processing, with a strong focus on data warehousing and cloud environments like AWS, GCP, and Snowflake. At Data…

  • Projects completed3
  • Hourly rate
  • 3-4 years experience
  • Lagos, NGA
  • Member since Jun 2026
Industries
EdTech
Expertise
PythonSQLPySparkKafkaGitSnowflakeHTMLJavascriptPHPCSSAWSGCPAzureApache AirflowETL PipelinesData LakesBigQueryData Warehouse DesignFlaskDatabase:RelationalDatabase:Document
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Assessments

General Project Assessment

Great on Find the Length of the Longest Substring Without Repeating Characters, Difficulty Easy · Great on Optimize Data Storage Strategies for Hybrid Cloud Environments, Difficulty Hard · Great on Design an ETL Pipeline for Integrated Insights, Difficulty Hard

Projects

Netflix Recommendation System

Designed an ETL pipeline and database schema, integrating with a Flask web app for end-user recommendations

End-to-End data pipeline for a book store

Responsible for analytics from extraction phase to Dashboard

End-to-End simulated E-commerce / POS pipeline

CSV-based order data published to Apache Kafka, ingested into PostgreSQL by an Apache Airflow DAG, then transformed into OLAP tables for analytics

Experience

  1. Data Engineer

    Data Epic· EdTechOct 2023 — Jan 2025
    • Migrated large datasets from Google Sheets to PostgreSQL
    • Designed and implemented a Netflix recommendation ETL pipeline with Flask integration
    • Engineered a Solana blockchain analytics project
    • Optimized SQL queries with indexing and partitioning
    PythonSQLFlaskKimball data modelingLooker Studio

  2. Data Engineer

    10Alytics· EdTechJan 2025 — Present
    • Developed an end-to-end Azure ETL pipeline using Data Factory, Databricks, Data Lake, and Synapse
    • Built a real-time sales data pipeline on Google Cloud
    • Designed a Python + PostgreSQL pipeline aggregating movie data from APIs/web sources
    Azure Data FactoryDatabricksPySparkGoogle CloudCloud FunctionsBigQueryPythonPostgreSQL
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