Build data systems that actually think
Senior Data Engineer · AI-Powered Data Applications · Cloud
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Are your data pipelines slow, fragile, or impossible to maintain?
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Do you need cloud infrastructure that scales without constant firefighting?
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Want to integrate LLMs into your data workflows — without the hype?
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Looking for an engineer who understands both the data stack and the business?
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Need production-grade delivery, not just prototypes?
About me
Hi, I'm Andres — a Senior Data Engineer based in México, with 5+ years designing and delivering high-impact cloud data systems for enterprise companies including Hershey's, EY/Microsoft, and Wizeline.
I specialize in AI-powered data systems: combining robust cloud pipeline engineering (Azure, AWS, Snowflake, dbt) with LLM integration to help teams move from raw data to operational intelligence. My work spans the full data lifecycle — from architecture and ingestion to transformation, orchestration, and business-facing analytics.
I'm currently open to Backend Contracts — long-term engagements with teams that need a senior data engineer without the overhead of a full-time hire.
What I can help you with
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Cloud Data Engineering
I design and build production-grade pipelines on Azure, AWS, and Snowflake. From raw ingestion to semantic modeling with dbt — clean, observable, maintainable infrastructure that scales with your business.
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LLM Integration
I connect your structured data to language models to automate analysis, classification, and reporting. Real production experience — not just demo projects. See biopanel.io for a live example.
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Analytics Engineering
Semantic layers, metric definitions, and dashboards your entire team can trust. I've built reporting infrastructure used by analytics and data science teams at Fortune 500 companies.
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Data Migration
I've led client-specific migration workflows with full validation pipelines: extraction, transformation, profiling, defect detection, and deployment — with documentation your team can maintain.
Why work with me?
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Certified across all major clouds
AWS Data Engineer Associate · Databricks Certified Data Engineer Professional · Snowflake SnowPro Core · Azure Data Engineer Associate (DP-203) · Fabric Data Engineer Associate (DP-700)
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Quantified, enterprise-scale impact
I don't just build pipelines — I reduce $750K in vendor costs, cut 2,000+ hours of manual work, and optimize runtimes by 67%. Every engagement I've had has a measurable business outcome.
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Full-stack when it matters
I built biopanel.io end-to-end: FastAPI backend, Celery + Redis async pipeline, PostgreSQL, React frontend. I can talk to your product and engineering teams in the same language.
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Async-first, enterprise-grade delivery
I've worked remotely across EY, Microsoft, Hershey's, and Wizeline. Clear communication, weekly updates, detailed documentation — you always know where things stand.
Tech stack
Cloud · Azure (ADF, Synapse, Fabric, Functions) · AWS (S3, Glue, Redshift, Lambda) · Snowflake · GCP basics
Orchestration & Transformation · Apache Airflow · dbt · PySpark · Azure Data Factory
AI / LLM · OpenAI API · LangChain · Pinecone · Retrieval-Augmented Generation · Streamlit
Languages · Python · SQL · DAX · Shell/Bash · YAML · TypeScript (basics)
DevOps · Azure DevOps · GitHub Actions · Docker · Terraform · CI/CD pipelines
Frequently asked questions
What kind of contracts are you available for?
I'm primarily open to Backend Contracts (BECs) — long-term staff augmentation engagements (typically 20–32 hrs/week) where I embed as a senior data engineer in your team. I'm also open to well-scoped project-based contracts for data migrations, pipeline buildouts, or LLM integration work. Minimum engagement: 20 hours.
What industries have you worked in?
Consumer goods (Hershey's), professional services and enterprise software (EY/Microsoft), technology (Wizeline), and health tech (biopanel.io — personal project). I'm most effective with enterprise teams that have complex data at scale — fintechs, SaaS platforms, and healthcare are strong fits.
How do you handle confidentiality?
I sign NDAs before any project begins. All credentials and sensitive data are managed with enterprise-grade security practices — never hardcoded, always encrypted at rest and in transit. I can work within your existing security policies.
What's your typical engagement structure?
I prefer a short paid discovery phase (5–10 hours) to fully understand your architecture and data before committing to a full engagement. This eliminates surprises on both sides. From there, I work in weekly cycles with async updates and a standing check-in.
Where are you based? Do you work with international clients?
I'm based in Aguascalientes, México (UTC-6). I work remote-first and have experience with distributed teams across US, EU, and LATAM timezones. Fluent in English and Spanish.
What are your rates?
I price based on scope and value delivered, not hours logged. Let's talk during our intro call — I'll be direct about what makes sense for your situation.
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Let's see if we're a fit
I take on a limited number of clients at a time to ensure quality. Book a free 30-minute call to discuss your data challenges and what an engagement could look like.