Data Engineer

Lagos, NGA
Open to part-time
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 Epic, he engineered a Netflix recommendation system with Flask integration and optimized SQL queries for improved performance. At 10Alytics, he developed an end-to-end Azure ETL pipeline and built a real-time sales data pipeline on Google Cloud, showcasing his ability to handle complex data environments. Timileyin holds no formal degree but has a proven track record in data engineering. He is well-suited for roles that require building robust data infrastructure and analytics solutions, particularly in cloud and real-time data processing contexts.

Expertise
PythonSQLPySparkKafkaGitSnowflakeHTMLJavaScriptPHPCSSAWSGCPAzureApache AirflowETL PipelinesData LakesBigQueryData Warehouse DesignFlaskRelational DatabaseDocument Database
Industries Experience
EdTech
Video Intro
Assessments
85/ 100Top 7%
Applicant avg · 50%TIMILEYIN · 85Top band

General Project Assessment

(85/100)
  • Great on Find the Length of the Longest Substring Without Repeating CharactersEasy
  • Great on Optimize Data Storage Strategies for Hybrid Cloud EnvironmentsHard
  • Great on Design an ETL Pipeline for Integrated InsightsHard
Projects
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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