What I've Built

A selection of impactful projects across data architecture, operations, and cloud infrastructure.

EKS Cluster Modernization

Migrated a legacy production-only EKS cluster (on extended support, no dev environment) to current versions. Provisioned dev with Terraform IaC, validated upgrades, deployed parallel prod, and migrated all workloads with zero downtime.

30-40% cost reduction
Stack: AWS EKS, Terraform, Docker, IAM, CloudWatch

Database Architecture Restructuring

Redesigned a costly database architecture that was spending $1,000/month for a single daily report. Implemented table partitioning, query optimization, and a new data model delivering real-time dashboards every 30 minutes.

$1,000 → $13/month (98% savings)
Stack: AWS, RDS, Partitioning, Query Optimization, PowerBI

Enterprise Data Governance

Implemented end-to-end data governance using Collibra and AWS LakeFormation. Built enterprise data dictionary, defined data owners, established cataloging standards, and enforced fine-grained access control with cross-account sharing policies.

90%+ Security Hub compliance
Stack: Collibra, LakeFormation, KMS, IAM, Security Hub

Reusable Terraform Modules

Designed and built a library of reusable Terraform and Terraform Cloud modules for data teams. Enabled self-service infrastructure provisioning, reduced deployment time, and ensured consistency across multiple squads and environments.

Self-service for data teams
Stack: Terraform, Terraform Cloud, GitHub, AWS, Jenkins, Argo

Serverless Data Platform Migration

Led migration of legacy BI workloads to a fully serverless architecture. Designed event-driven pipelines with zero-downtime transition, reducing operational overhead and enabling automatic scaling for variable workloads.

Zero-downtime migration
Stack: EventBridge, Lambda, ECS, Glue, Athena, S3, PySpark

Generative AI in Data Workflows

Integrated Generative AI services into production data pipelines for automated document processing, intelligent alerting, and NLP-powered data operations. Built automation agents that reduced manual intervention in repetitive data tasks.

AI-powered automation
Stack: Bedrock, Sagemaker, OpenAI, Whisper, LLMs, Python

Other Notable Projects

Multi-tenant Analytics Platform

Architected a multi-tenant data platform with layered zone models (raw → staging → curated → consumption). Custom dashboards per client in PowerBI & Looker Studio with Snowflake optimization for concurrent workloads.

Stack: Snowflake, PowerBI, Looker Studio, Airflow, PySpark, Kafka

Data Observability & FinOps

Implemented observability for data services with CloudWatch custom metrics and alerting. Led FinOps strategies: S3 lifecycle policies, right-sizing compute, reserved capacity, and query cost optimization in Athena/Redshift.

Stack: CloudWatch, AWS Cost Explorer, Athena, Redshift, S3, Terraform

Social Media Data Extraction

Designed and implemented a technique for tracking and extracting data from social networks at scale for research purposes. Enabled large-scale data collection and analysis for academic publications.

Stack: Python, Web Scraping, APIs, Pandas, ETL

Research & Publications

Led a university research group producing articles in indexed journals, book chapters, and 10+ nationally registered software products (Minciencias). Combined data science with full-stack development for academic innovation.

Stack: Python, Data Science, Full Stack, Mobile Development

Let's build something together

Looking for a Data Architect or DataOps Engineer? Let's talk.

Contact Me