Hi, I am Camilo Chavez

Senior Solutions Architect Cloud, Data & AI

Designing enterprise cloud architectures that turn data complexity into measurable business outcomes — across Azure, AWS, and GCP

About Me

Senior Solutions Architect with 7+ years designing cloud-native data and AI platforms across Azure, AWS, and GCP for enterprises where data is mission-critical.

At Bosch, I unified 6+ enterprise data sources, improved semantic search relevance by 60%, and raised governance compliance from 60% to 90% across 4 business units. At Microsoft, I won the Technical Talent Award LATAM for a solution that increased government productivity by 200% — while driving a 40% win-rate uplift across enterprise pre-sales.

I operate at the intersection of deep technical architecture and executive communication — equally comfortable reviewing a Lakehouse design or aligning a cloud roadmap with C-suite OKRs.

Experience

Cloud Architect & Senior Solutions Engineer — Data & AI

Bosch, Warsaw, Poland.

May 2023 - Present

  • Rebuilt enterprise semantic search using Stardog, SPARQL & TopQuadrant—lifted relevance by 60% and eliminated 70% of manual data-mapping overhead, saving an estimated 2 FTE/year.

  • Unified 6+ siloed data sources into a single enterprise model, cutting duplication by 45% and cloud storage costs by 20% while enabling 3× faster cross-domain data discovery.

  • Raised governance compliance from ~60% to 90% by authoring architecture standards adopted across 4 business units—zero critical audit findings in the following review cycle.

  • Tripled analytic query accuracy (+25% uplift) by integrating knowledge graphs with ERP, CRM, and IoT systems, unlocking net-new business intelligence use cases.

  • Cut DB operational incidents by 40% and query latency by 3× through schema redesign and indexing strategy across SQL Server, PostgreSQL, CosmosDB, and MongoDB.

  • Accelerated deployment velocity by automating infra provisioning and CI/CD pipelines with Azure Bicep, reducing release cycle time from days to hours.

Cloud Solution Architect — Data & AI | Pre-Sales | Enterprise

Microsoft, Mexico City, Mexico.

January 2021- March 2023

  • Won the Technical Talent Award LATAM for architecting a cloud solution that increased government-institution productivity by 200%—fastest ramp from PoC to production in the regional cohort.

  • Drove 40% win-rate uplift on targeted enterprise opportunities by delivering technical pre-sales architecture, executive briefings, and live solution demos.

  • Owned 10+ enterprise customer portfolios end-to-end, leading quarterly business reviews and aligning Azure roadmaps with C-suite OKRs; maintained 99.9%+ platform availability.

  • Slashed data pipeline latency from days to hours by designing Synapse + Databricks Lakehouse architectures with parallel ingestion and incremental load patterns.

  • Migrated on-premises data estates to Azure for multiple clients, achieving measurable cost reduction and positioning each account for AI/ML workloads within 6 months.

Software Engineer — IoT Integration & Client Solutions

Solera Inc, Mexico City, Mexico.

  • Served as the sole technical integration owner within Solera's Customer Success Unit, onboarding fleet and logistics clients across the Mexican market onto Mexico's leading IoT telemetry platform—connecting each customer's web services to Solera's real-time vehicle tracking and telemetry APIs handling hundreds to thousands of active vehicles per client, per day.

  • Reduced manual processing time by 60% and tripled integration throughput by architecting C#/JavaScript/PHP web service layers that bridged client systems with Solera's IoT and telemetry infrastructure—laying the foundation for the API design and systems integration work done later at Microsoft and Bosch.

  • Translated client operational requirements directly into integration specifications, acting as the technical bridge between Solera's engineering teams and external fleet operators—a client-facing responsibility that mirrors the pre-sales and solution design functions of a Senior Solutions Architect.

  • Accelerated reporting speed by 70% by redesigning the data integration and visualization layer, directly contributing to a 15% revenue uplift from upsell opportunities identified through improved analytics visibility.

August 2020 - January 2021

  • Built a production-line testing platform from scratch—database schema through full application—to digitize engineer input for vehicles undergoing altitude calibration, powertrain tuning, and homologation to Mexican regulatory standards; the system directly fed the sign-off process for vehicles scheduled for market release the following model year.

  • Replaced manual, paper-based data entry across multiple concurrent testing engineers with a real-time multi-user .NET/C#/SQL application, cutting process time by , expanding test coverage by 40%, and eliminating the transcription errors that previously delayed compliance submissions.

  • Reduced internal reporting errors by 35% and sped cross-team communication by 50% via intranet tooling adopted across engineering groups—first exposure to building systems where data integrity has direct regulatory and safety consequences.

Software Engineer

Stellantis (FCA), Mexico City, Mexico.

July 2018 - December 2019

Tech Stack

a very large group of trees that are very colorful
a very large group of trees that are very colorful
Data Platforms

Databricks, Hadoop, Apache Spark, Azure ML, MS Fabric, Azure Synapse

high-angle photo of road with vehicles
high-angle photo of road with vehicles
a rack of servers in a server room
a rack of servers in a server room
DevOps

Bicep, Terraform, GitHub Actions.

Databases

SQL Server, PostgreSQL, CosmosDB, Oracle, GraphQL, Stardog

a computer screen with a bunch of code on it
a computer screen with a bunch of code on it
Languages

PySpark, Pyhton, T-SQL, Scala, C#, JavaScript, PHP

green and red light wallpaper
green and red light wallpaper
Solutions Architecture

Enterprise data strategy, pre-sales, stakeholder alignment, cloud roadmaps

a black and white photo of a bush
a black and white photo of a bush
Knowledge Graphs

Knowledge graphs with Stardog and SPARQL

Projects

IoT, Machine Learning, Python, C, CosmosDB, Azure.

photography of smoke coming out from tower during daytime
photography of smoke coming out from tower during daytime
Air pollution predictive model with IoT systems

An air pollution predictive model that uses a mobile monitoring system built with arduino to measure suspended particles and Carbon monoxide in Mexico City using real time data processing over 4G network implementing IoT and Machine Learning techniques to provide air quality monitoring alternatives in one of the most polluted cities in the world.

Get in touch

Connect with me for potential recruitment opportunities and insights into my career journey. Let's collaborate and create impactful solutions together.

Email

contact@camilochavez.com

contact@camilochavez.com