Akindetosin Michael

Software & Data Engineer

Lagos, NG.

About

Software Engineer & Data Engineer specializing in scalable ETL automation and robust data infrastructure. I design and implement complex Talend jobs to orchestrate high-volume data flows into Google BigQuery, ensuring data integrity and accessibility. My expertise extends to Linux-based scheduling via Webmin/cron for seamless production operations. Currently, I am focused on building innovative Agentic AI systems to automate data workflows end-to-end, driving efficiency and advanced analytical capabilities.

Work

Confidential Company

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Data & Software Engineer

Lagos, Lagos State, Nigeria

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Summary

Led end-to-end design, development, and operational management of scalable ETL pipelines and data infrastructure, leveraging Talend, BigQuery, and Linux-based automation to enhance data freshness, reduce costs, and ensure high system uptime.

Highlights

Engineered enterprise ETL workflows in Talend Open Studio, integrating 10+ source systems into Google BigQuery data warehouse, improving data freshness from daily to hourly.

Automated and monitored 25+ production Talend jobs using Webmin + cron scheduling on Linux, achieving 99.7% pipeline uptime with zero manual intervention.

Optimized BigQuery SQL models and partitioned tables, reducing query costs by 35% while supporting 500K+ rows ingested daily via Talend.

Designed Talend joblets and reusable components for data validation, error handling, and logging, cutting development time for new pipelines by 50%.

Managed Linux servers via Webmin to configure cron jobs, permissions, and service monitoring for mission-critical ETL infrastructure.

Built wrapper scripts in Bash/Python to trigger Talend jobs, add retry logic, and send Slack/email alerts on failure, improving Mean Time To Recovery (MTTR) by 70%.

Developed data APIs to expose curated BigQuery datasets to downstream applications, handling authentication, rate limiting, and caching.

Languages

English

Skills

Data Engineering

Talend ETL Orchestration, Google BigQuery, ETL Workflows, Data Warehousing, Data Integration, Data Freshness, SQL Optimization, Data Validation, Error Handling, Incremental Loading, Partitioning.

Software Engineering & Operations

Linux-based Job Scheduling, Webmin, Cron, Server Administration, Bash Scripting, Python Scripting, DevOps, Pipeline Monitoring, Automated Alerts, Retry Logic, Data APIs, Authentication, Rate Limiting, Caching.

Cloud Technologies

Google BigQuery, Cloud Data Warehousing, Cloud Infrastructure.

Emerging Technologies

Agentic AI Systems, Workflow Automation.

Projects

Enterprise ETL Automation Platform

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Summary

Developed and managed a comprehensive platform for automated data extraction, transformation, and loading into a cloud data warehouse, ensuring robust data availability and cost efficiency.