Data Engineer
Temiloluwa Awoyele is a Data Engineer with over 4 years of experience in data warehousing, pipeline development, and ETL optimization. He works with Python, SQL, Apache Spark, Apache Doris, Apache Kafka, and Apache Airflow, building CDC pipelines, data warehouses, and orchestrated ETL workflows on AWS services including Glue, S3, EMR, and Lambda. His work includes real-time data streaming, workflow orchestration, and query performance tuning for business-critical reporting. At Everlytics Data Science, he engineered a CDC…
An API that predicts the nature of toxicity of a sentence with multi-label prediction. The nature of toxicity that can be detected are: Toxic, Severe Toxic, Obscene, Threat, Insult, Identity Hate. The API can return more than a single label (multi-labeled) and the word Not-Toxic if the text isn't toxic.
Senior Data Warehouse Engineer
Everlytics Data Science Pte Ltd· OtherNov 2022 — Present- Engineered a transaction-level CDC pipeline (Oracle, MS SQL Server, PostgreSQL → Apache Doris Warehouse) using Airflow and Python, reducing data latency from hours to <40 seconds.
- Migration of a data warehouse from Teradata to SingleStore, cutting data warehousing costs by 40% while preserving data integrity and query performance.
- Researched and implemented database enhancements in the new data warehouse, resulting in a 25% improvement in query performance and a 30% reduction in data retrieval time.
- Managed and optimized data workflow dependencies, reducing release cycles by 20% and boosting workflow efficiency by 15%.
- Authored and optimized SQL queries, increasing query execution speed by 40% and enhancing overall database performance for business-critical reporting.
Apache DorisAirflowPythonTeradataSingleStoreSQLS3GrafanaPrometheusMachine Learning Intern
Divercity· Enterprise & SaaSApr 2022 — Jun 2022- Optimized LinkedIn scrapers to systematically extract employee profiles, building a 10,000+ profile database.
- Developed and deployed production-ready image classification models for gender detection, achieving 90% accuracy.
- Debugged and enhanced machine learning pipelines in production, reducing error rates by 15% and boosting overall system performance by 20%.
S3ECREC2ECSPythonDockerLambdaFastAPIFlaskData Analyst
Hash Analytics· EdTechJan 2022 — Mar 2022- Optimized data workflows with NumPy and Pandas, cutting data processing time by 15%.
- Designed and delivered interactive visualizations with Matplotlib and Seaborn.
NumPyPandasMatplotlibSeaborn
B.Tech in Physics Electronics
Federal University of Technology, AkureNigeria2015 — 2022
Data Engineer
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Temiloluwa Awoyele is a Data Engineer with over 4 years of experience in data warehousing, pipeline development, and ETL optimization. He works with Python, SQL, Apache Spark, Apache Doris, Apache Kafka, and Apache Airflow, building CDC pipelines, data warehouses, and orchestrated ETL workflows on AWS services including Glue, S3, EMR, and Lambda. His work includes real-time data streaming, workflow orchestration, and query performance tuning for business-critical reporting. At Everlytics Data Science, he engineered a CDC…
- Projects completed4
- Hourly rate
- 3-4 years experience
- Lagos, Nigeria
- Member since Jul 2026
An API that predicts the nature of toxicity of a sentence with multi-label prediction. The nature of toxicity that can be detected are: Toxic, Severe Toxic, Obscene, Threat, Insult, Identity Hate. The API can return more than a single label (multi-labeled) and the word Not-Toxic if the text isn't toxic.
Senior Data Warehouse Engineer
Everlytics Data Science Pte Ltd· OtherNov 2022 — Present- Engineered a transaction-level CDC pipeline (Oracle, MS SQL Server, PostgreSQL → Apache Doris Warehouse) using Airflow and Python, reducing data latency from hours to <40 seconds.
- Migration of a data warehouse from Teradata to SingleStore, cutting data warehousing costs by 40% while preserving data integrity and query performance.
- Researched and implemented database enhancements in the new data warehouse, resulting in a 25% improvement in query performance and a 30% reduction in data retrieval time.
- Managed and optimized data workflow dependencies, reducing release cycles by 20% and boosting workflow efficiency by 15%.
- Authored and optimized SQL queries, increasing query execution speed by 40% and enhancing overall database performance for business-critical reporting.
Apache DorisAirflowPythonTeradataSingleStoreSQLS3GrafanaPrometheusMachine Learning Intern
Divercity· Enterprise & SaaSApr 2022 — Jun 2022- Optimized LinkedIn scrapers to systematically extract employee profiles, building a 10,000+ profile database.
- Developed and deployed production-ready image classification models for gender detection, achieving 90% accuracy.
- Debugged and enhanced machine learning pipelines in production, reducing error rates by 15% and boosting overall system performance by 20%.
S3ECREC2ECSPythonDockerLambdaFastAPIFlaskData Analyst
Hash Analytics· EdTechJan 2022 — Mar 2022- Optimized data workflows with NumPy and Pandas, cutting data processing time by 15%.
- Designed and delivered interactive visualizations with Matplotlib and Seaborn.
NumPyPandasMatplotlibSeaborn
B.Tech in Physics Electronics
Federal University of Technology, AkureNigeria2015 — 2022
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