Data Engineering & DBA Consulting

Data infrastructure that
performs, scales,
and stays reliable.

Solving business challenges through data engineering and analytics to reduce costs, minimize decision risk, and drive revenue growth.

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Free DE/DBA Runbook โ€” Open to the community

MySQL ยท PostgreSQL ยท Snowflake ยท Redshift ยท AWS ยท Docker ยท Debug Protocol ยท 103 copy-ready commands

Open Runbook โ†’

Committed to ensure the ROI
for data solutions.

๐Ÿฆ Banking
๐Ÿ›ก Insurance
๐Ÿ“ก Telecom
๐Ÿ›’ Retail
๐Ÿจ Hospitality
๐Ÿ› Government
๐Ÿฅ Healthcare
๐ŸŽ“ Training & Mentoring
โ˜๏ธ AWS Cloud
๐Ÿฅ Core Competencies
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Database RCA & Performance Root cause identified precisely โ€” not surface symptoms treated as solutions.
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ETL Pipeline Rescue Broken Glue jobs, failing Airflow DAGs, Spark memory issues, silent data quality failures.
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AWS Cost Optimization RDS right-sizing, GP2 โ†’ GP3 migrations, idle instance identification, warehouse query cost analysis.
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Data Architecture Pragmatic designs for companies โ€” scalable without over-engineering.
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Data Quality Frameworks Automated validation pipelines โ€” catching errors before they reach production or dashboards.

Areas of engagement

From focused diagnostics to long-term architecture and delivery โ€” scoped to what the situation actually requires.

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Data Health Diagnostic

A structured audit of your pipelines, databases, and infrastructure. You get a written report with prioritized findings and actionable fixes โ€” not a sales pitch.

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Incident Response & RCA

Database slowdowns, pipeline failures, data quality issues โ€” root cause identified and resolved, fast.

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AWS RDS & Aurora Optimization

Performance tuning, parameter group configuration, right-sizing, GP2 โ†’ GP3 migrations, connection pooling, slow query analysis.

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ETL Pipeline Engineering

Design, build, and repair data pipelines on AWS Glue, Airflow, dbt, and Spark. From broken legacy jobs to modern cloud-native architectures.

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Data Warehouse Consulting

Snowflake cost optimization, Redshift tuning, query performance, warehouse sizing, clustering keys, and data modeling for analytics workloads.

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Data Quality Implementation

Automated validation pipelines using dbt tests. Catch bad data before it reaches dashboards or decision-makers.

Start the conversation.

Describe the challenge โ€” pipeline failures, database performance, cost overruns, architecture questions. We'll assess the situation and outline a path forward.

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Schedule a Call

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