08/07/2026 updated
LH
100 % available
Data Engineer | Cloud & Analytics Architecture | Snowflake, dbt, Spark, Python
Ensenada, Mexico
Only remote
M.Sc. in Computer ScienceAbout me
Data Engineer with nearly 5 years of experience designing and operating end-to-end data platforms. Currently leading the analytics architecture from ingestion, warehousing, and transformation. Focused on data governance, RBAC design, and cost-aware engineering.
dbtApplication Programming Interfaces (APIs)Data AnalysisBig DataCloud EngineeringData GovernanceData InfrastructureData IntegrationData TransformationData Transformation ServicesData WarehousingCloud ServicesSnowflakeApache SparkAWS Lambda
Cloud Data Warehousing & Pipeline Engineering
Design and operation of end-to-end data platforms using Snowflake as the central warehouse, with ingestion via Fivetran and custom SDK connectors, transformation in dbt Cloud, and governance through RBAC, SAML and OAuth authentication policies.
Big Data Processing with Spark & Databricks
Development and optimization of scalable data workflows using Apache Spark and Databricks, including large-volume data analysis, complex dataset processing, and integration with Azure and SQL environments.
ETL Development & Data Integration
Design and management of ETL pipelines using Informatica, AWS Glue, AWS Lambda, and Matillion, integrating sources such as Oracle DB, PostgreSQL, S3, and flat files to ensure efficient and reliable data processing.
Business Intelligence & Data Visualization
Creation and migration of dashboards and reports using Apache Superset, Tableau, and SISENSE, including RBAC layers, annotation layers, and Elasticubes optimized for high-volume datasets.
Python Development & API Engineering
Development of data APIs and automation scripts using Python, FastAPI, and Mangum, deployed on AWS Lambda with geofence-configurable endpoints per business unit.
Machine Learning & Deep Learning
Academic and project-based experience with TensorFlow, PyTorch, Scikit-learn, and neural network architectures, including M.Sc. thesis work on synthetic fingerprint generation using deep learning.
AWS Cloud Services
Practical experience with AWS services including Lambda, S3, Glue, and Redshift for building scalable, cost-aware data infrastructure and monitoring high-performance database environments.
Data Governance & Security Architecture
Implementation of dual-layer security models with Azure AD (Entra ID), SAML, OAuth Passthrough, and RBAC frameworks across production and development environments, including Trust Center compliance.
SQL & Relational Databases
Proficient use of PostgreSQL, Oracle, and Oracle EBS for data integration, querying, and maintaining database integrity across enterprise-scale environments.
Design and operation of end-to-end data platforms using Snowflake as the central warehouse, with ingestion via Fivetran and custom SDK connectors, transformation in dbt Cloud, and governance through RBAC, SAML and OAuth authentication policies.
Big Data Processing with Spark & Databricks
Development and optimization of scalable data workflows using Apache Spark and Databricks, including large-volume data analysis, complex dataset processing, and integration with Azure and SQL environments.
ETL Development & Data Integration
Design and management of ETL pipelines using Informatica, AWS Glue, AWS Lambda, and Matillion, integrating sources such as Oracle DB, PostgreSQL, S3, and flat files to ensure efficient and reliable data processing.
Business Intelligence & Data Visualization
Creation and migration of dashboards and reports using Apache Superset, Tableau, and SISENSE, including RBAC layers, annotation layers, and Elasticubes optimized for high-volume datasets.
Python Development & API Engineering
Development of data APIs and automation scripts using Python, FastAPI, and Mangum, deployed on AWS Lambda with geofence-configurable endpoints per business unit.
Machine Learning & Deep Learning
Academic and project-based experience with TensorFlow, PyTorch, Scikit-learn, and neural network architectures, including M.Sc. thesis work on synthetic fingerprint generation using deep learning.
AWS Cloud Services
Practical experience with AWS services including Lambda, S3, Glue, and Redshift for building scalable, cost-aware data infrastructure and monitoring high-performance database environments.
Data Governance & Security Architecture
Implementation of dual-layer security models with Azure AD (Entra ID), SAML, OAuth Passthrough, and RBAC frameworks across production and development environments, including Trust Center compliance.
SQL & Relational Databases
Proficient use of PostgreSQL, Oracle, and Oracle EBS for data integration, querying, and maintaining database integrity across enterprise-scale environments.
Languages
EnglishFluentSpanishNative speaker
Project history
Leading the analytics architecture including ingestion via Fivetran, warehousing in Snowflake, transformation in dbt Cloud, and visualization in Apache Superset and Tableau. Implemented RBAC governance, dual-layer OAuth security, custom Fivetran SDK connectors, a data API on AWS Lambda, and established a BI operating model with CI/CD and Git workflows.
Accountable for the operations of an independent craft microbrewery.
Developed and optimized data solutions with Spark and Databricks, building scalable workflows and advanced data analysis. Integrated large data volumes with SQL and Azure to support strategic decision-making and designed efficient data pipelines for complex datasets.