Uriel David Tello Padilla
Morelia
Summary
Dynamic Data Engineer with over 9 years of expertise in designing and optimizing ETL pipelines utilizing Azure Databricks and Azure Fabric.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Data Engineer
Hexaware Technologies
09.2024 - Current
- Utilized Microsoft Fabric services (Data Factory, Dataflow Gen2, Notebooks) to orchestrate end-to-end ETL/ELT pipelines with Terraform and Kubernetes.
- Leveraged the Azure Databricks ecosystem (Delta Lake, Delta Live Tables, MLflow) to optimize data workflows.
- Employed Lake House architecture with Azure Purview and Snowflake for unified analytics.
- Developed ETL processes using Apache Spark, PySpark, and Azure Data Factory (ADF) incorporating Airflow orchestration.
- Managed Delta Tables, Apache Iceberg, and integrated Azure Synapse for high performance storage and querying.
- Implemented cloud solutions with Azure Blob Storage, Azure Functions, Logic Apps, and Docker containers.
- Applied CI/CD best practices with Git, dbt, Azure DevOps, and Jenkins for automated testing.
Sr Data Engineer (Freelancer Contractor)
Sherwin Williams
Remote
01.2023 - 01.2025
- Design and orchestrate ETL pipelines using Data Factory and Dataflow Gen2 for scalable data ingestion and transformation.
- Develop and maintain Notebooks for complex data processing and analytics using PySpark and SQL.
- Integrate Microsoft Fabric with external services like Azure Databricks, Azure Functions, and Synapse for advanced processing.
- Implement CI/CD pipelines for Fabric-based workflows using Azure DevOps and Infrastructure as Code (IaC) tools like Terraform.
- Monitor and optimize performance across Fabric components with observability tools and alerting mechanisms (e.g., Azure Monitor, Log Analytics).
Data Engineer
Eviden
05.2024 - 09.2024
- Orchestrated ETL/ELT pipelines with Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks) and Azure Databricks.
- Designed scalable data flows in Python, SQL, and Scala leveraging Spark Streaming.
- Built parameterized workflows and incremental loads using Airflow and Fabric integration.
- Integrated monitoring with Datadog and alerting via Logic Apps for proactive issue detection.
- Automated deployments of artifacts using Azure DevOps and Terraform.
- Documented pipeline architectures and supported optimization with Power BI dashboards.
- Developed and maintained modular data transformations using dbt to enforce best practices and documentation.
- Collaborated with cross-functional teams to establish data quality frameworks and governance standards.
Data Engineer
TCS (TATA Consultancy Services)
Guadalajara
08.2023 - 02.2024
- Developed ETL/ELT workflows with Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks) and Databricks.
- Optimized data transformation jobs using Python, SQL, and Spark SQL for high performance.
- Managed pipeline triggers, parameters, and scheduling with Airflow and Fabric.
- Implemented data partitioning and caching strategies in Delta Lake to accelerate processing.
- Automated CI/CD deployments via Azure DevOps, GitHub Actions, and Terraform.
- Conducted data profiling and validation using Great Expectations and custom PySpark scripts.
Data Engineer
Grupo Salinas (Elektra EKT e-commerce)
Mexico City
02.2021 - 08.2023
- Developed stream-processing apps with Azure Event Hubs, Azure Stream Analytics, and Azure Functions for real-time transformations.
- Designed and optimized Azure Synapse Analytics and Azure SQL Data Warehouse schemas for high-performance analytics.
- Implemented CI/CD pipelines with Azure DevOps Pipelines and ARM templates.
- Managed Azure infrastructure (Blob Storage, Databricks, Data Factory) to support scalable workflows.
- Leveraged PySpark, SQL, and dbt on Azure for data modeling and governance.
- Automated testing and monitoring with Jenkins and Azure Monitor.
- Developed GDPR-compliant data anonymization routines using Azure Data Factory and Python UDFs.
- Built real-time inventory tracking pipelines by integrating Azure Event Hubs with Azure Functions.
Data Engineer
Dealership Performance 360
08.2016 - 01.2021
- Ingested data from Data Lake to Warehouse using AWS Glue, Amazon EMR, and Redshift Spectrum.
- Developed Amazon MSK connectors, Kafka, and Elasticsearch integrations for full data processing.
- Automated ETL pipelines with AWS CodePipeline, Terraform, and Docker.
- Tuned PySpark jobs and optimized SQL queries for large-scale data.
- Managed version control and CI/CD with GitHub, Jenkins, and GitLab CI.
- Built microservices in Scala and deployed on Kubernetes clusters.
- Designed batch ingestion workflows using AWS Batch and S3 event triggers for cost-efficient processing.
- Implemented data quality frameworks integrated into Airflow for automated validations.
Education
Master - Physics And Mathematics
Higher School of Physics and Mathematics-IPN
CDMX06.2021
Bachelor - Physics And Mathematics
Faculty Of Physics And Mathematics-UMSNH
Morelia, Michoacán05.2017
Skills
- ETL pipelines
- Data modeling
- Azure Databricks
- Apache Spark
- Data governance
- Cloud solutions
- Azure Fabric
Certification
Machine Learning Specialization, Coursera, 2022, Supervised Machine Learning: Regression and Classification, Advanced Learning Algorithms, Unsupervised Learning, Recommenders, Reinforcement Learning
Training
- Master In Physics And Mathematics, Higher School of Physics and Mathematics-IPN, CDMX, 08/01/19, 06/30/21, Probability, Statistical Learning, Evolutionary Algorithms, Time Series Analysis, Numerical Analysis, Optimization, Mathematical Statistics, Scientific Computing for Probability and Statistics with Python And Julia
- Bachelor In Physics And Mathematics, Faculty Of Physics And Mathematics-UMSNH, Morelia, Michoacán, 05/01/17, 05/31/17, Mathematical Analysis I, Mathematical Analysis II, Mathematical Analysis III, Mathematical Analysis IV, Numerical Methods, Probability, Statistics I, Statistics II, Programming I, Programming II
Languages
- English, 90% oral and writing
- Python
- PySpark
- Scale
- Java
- SQL
- Julia
- R
- Matlab
- LATEX
Personal Information
Date of Birth: 06/15/86
Affiliations
- Bodybuilding
- Playing guitar
- Video games
Timeline
Data Engineer
Hexaware Technologies
09.2024 - Current
Data Engineer
Eviden
05.2024 - 09.2024
Data Engineer
TCS (TATA Consultancy Services)
08.2023 - 02.2024
Sr Data Engineer (Freelancer Contractor)
Sherwin Williams
01.2023 - 01.2025
Data Engineer
Grupo Salinas (Elektra EKT e-commerce)
02.2021 - 08.2023
Data Engineer
Dealership Performance 360
08.2016 - 01.2021
Master - Physics And Mathematics
Higher School of Physics and Mathematics-IPN
Bachelor - Physics And Mathematics
Faculty Of Physics And Mathematics-UMSNH
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