Hi, I am Camilo Chavez
Cloud Solution Architect Data & AI
Mind focused on data analytics platforms with over 6 years of experience.
About Me
Cloud Solution Architect with 6+ years of experience building and designing scalable data solutions, including data lakes, data warehouses, and Lakehouse architecture, with expertise in MS Fabric, Databricks, and data modeling. Passionate about innovating data strategies, driving data integration, and aligning solutions with business objectives with a strong background in software engineering, data architecture, and cloud platforms like Azure, AWS, and GCP.
Work Experience
Explore my professional journey, showcasing skills, certifications, and projects that define my career.
Discover my professional background
Experience
Cloud Consultant / Developer
Bosch, Warsaw, Poland.
May 2023 - Present
Drive the digital transformation for Bosch by empowering data analysis and AI in the cloud.
Led the design of enterprise data strategies for large-scale data integration and modeling.
Developed and deployed scalable cloud-based data solutions using Azure, including data lakes, warehouses, and Lakehouse architectures.
Automated infrastructure provisioning and CI/CD pipelines using Bicep, enhancing deployment efficiency and reliability.
Engineered robust data pipelines and ETL processes using Databricks, Spark, and Microsoft Fabric, optimizing data processing and analytics workflows.
Leveraged SQL Server, PostgreSQL, CosmosDB, MongoDB, and GraphQL for database design and management, ensuring high performance and scalability.
Cloud Solution Architect Engineer, Data & AI
Microsoft, Mexico City, Mexico.
January 2021- March 2023
Architected and implemented end-to-end data solutions, including data warehouses, Lakehouses, and advanced analytics platforms using Azure Synapse and Databricks using Microsoft’s Well Architected Framework.
Designed and deployed scalable cloud-based data pipelines, enabling seamless data integration and transformation across diverse systems.
Developed custom data models and analytics solutions using Python and SQL, driving actionable insights for business stakeholders.
Led cloud transformation initiatives, migrating on-premises data systems to Azure and optimizing performance and cost-efficiency.
Recognized with the Technical Talent Award LATAM for delivering a cloud-based solution that increased productivity by 200% for a government institution.
Contributed to pre-sales activities by providing technical expertise and solution architecture support, driving customer adoption of cloud technologies.
Software Engineer
Solera Inc, Mexico City, Mexico.
Designed and developed custom web services and APIs using C#, JavaScript, and PHP, integrating multiple third-party systems to streamline business operations.
Collaborated with clients to gather requirements and deliver tailored software solutions, improving operational efficiency and client satisfaction.
Enhanced data insights and reporting capabilities by implementing data integration and visualization tools, contributing to revenue growth.
Agile methodologies to deliver high-quality software solutions within tight deadlines.
August 2020 - January 2021
Designed and developed custom web services and APIs using C#, JavaScript, and PHP, integrating multiple third-party systems to streamline business operations.
Collaborated with clients to gather requirements and deliver tailored software solutions, improving operational efficiency and client satisfaction.
Enhanced data insights and reporting capabilities by implementing data integration and visualization tools, contributing to revenue growth.
Agile methodologies to deliver high-quality software solutions within tight deadlines.
Software Engineer
Stellantis (FCA), Mexico City, Mexico.
July 2018 - December 2019
Tech Stack
Data Platforms
Databricks, Hadoop, Apache Spark, Azure ML, MS Fabric, Azure Synapse
DevOps
Bicep, Terraform, GitHub Actions.
Databases
SQL Server, PostgreSQL, CosmosDB, Oracle, GraphQL, Stardog
Coding
PySpark, Pyhton, T-SQL, Scala, C#, JavaScript, PHP
Data Modeling & Architecture
Data lakes, warehouses, Lakehouse, ETL/ELT
Knowledge Graphs
Knowledge graphs with Stardog and SPARQL
Projects
IoT, Machine Learning, Python, C, CosmosDB, Azure.
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.
contact@camilochavez.com