Responsibilities & achievements

Create Infrastructure as Code with Terraform in AWS several accounts, replicating modules with Terraformer. Use Puppet to define and automate Infrastructure provisioning and configuration. Manage configuration files and templates to ensure consistent changes across different environments. Integrate automates CI/CD pipelines to ensure that the infrastructure is deployed automatically

Responsibilities & achievements

Principal Consultant in Artificial Intelligence and Data Engineering for the first 100% Digital bank in Guatemala, on projects related to Data Engineering and Machine Learning. Design, development and implementation of the Lake House for the bank within AWS Databricks. Creation and maintenance of various Data Pipelines from multiple data sources. Development and implementation of a Machine Learning model to detect account holders who transfer money between their Nexa accounts and to or from other banks. Key Technologies: AWS (Lambda, RDS, RedShift, Glue, Athena & S3), Python/PySpark (NumPy, Pandas, SciKit-Learn, Keras & Matplotlib) & SQL.

Responsibilities & achievements

Principal Data Engineer as an external consultant specialized in Data Engineering, for a 100% Digital Bank in Guatemala City. Generate and maintain datasets that align with business needs. Design and implement the Data Lake Architecture. Build and maintain Big Data (Lake House on AWS) ETL procedures. Develop algorithms to transform data into useful, actionable information. Build, test, and maintain database pipeline architectures. Collaborate with management to understand company objectives. Create new data validation methods and data analysis tools. Ensure compliance with data governance and security policies. Key Technologies: AWS (S3, Glue, RedShift & DMS), Databricks, Python, PySpark, SQL & Scala.

Responsibilities & achievements

Lead the migration of the Company's regional operation to AWS, primarily Data Warehouses. Lead the implementation of the Data Mesh in AWS for 50 different AWS Accounts, across 8 different countries. Administrate different cloud environments. Collaborate with other teams from different parts of the world to complete different analytical models. Propose and supervise different POC's for different projects. Developed and implemented a data backup and recovery system, increasing data security and reducing downtime in the event of a system failure. Developed a data ingestion process to automate the transfer of data from multiple sources into a single database, resulting in a X% reduction in manual data entry. Developed a system for large-scale data processing that was able to process petabytes of data in a few hours. Guide various development teams towards cloud migration, with good practices and showing them technical examples. • Regional Director of the Data Modeling Department for Millicom Latin America (Central America, Colombia, Bolivia, and Paraguay). • Create Data Modeling strategies, especially regarding product development and decision-making. • Monitor teams and handle Data Models to develop, implement, and complete project while ensuring a high level of data quality based on regulatory standards. • Create visual representations of information systems to communicate connections between data points and structures. • Define and Lead Conceptual, Logical and Physical Data Models. • Identification of entities. • Map attributes to entities completely. • Assign keys as needed, and decide on a degree of normalization that balances the need to reduce redundancy with performance requirements. • Implement and validate date models Key Technologies: AWS (EC2, Lambda, VPC, Control Tower, SageMaker Studio, RDS, RedShift, Glue, Athena, S3, AWS Lake Formation, Amazon Kinesis & CloudWatch), Linux, Python, PySpark & SQL & Terraform.

Responsibilities & achievements

Technical leader for two data teams, one for a retail project and the other for an IoT-related project. Creation of various Python scripts to extract data from multiple sources (APIs, non-relational databases and relational databases). Creation and maintenance of various Data Pipelines. Define task complexity during Scrum sessions and assign. Assign tasks to other engineers and, if necessary, support and guide them to complete these tasks. Supported engineering projects by maintaining accurate records of all project data. Engage in non-technical sessions with clients to explain risks and new proposals. Key Technologies: AWS (RDS, Dynamo DB, Lambda, S3 & SageMaker Studio) Docker, Python, SQL, Hadoop, GCP (BigQuery & Buckets), Talend & Power BI.

Responsibilities & achievements

• Principal Data Engineer as an external consultant specialized in Data Engineering, for a 100% Digital Bank in Guatemala City. • Generate and maintain datasets that align with business needs. • Design and implement the Data Lake Architecture. Build and maintain Big Data (Lake House on AWS) ETL procedures. • Develop algorithms to transform data into useful, actionable information. • Build, test, and maintain database pipeline architectures. • Collaborate with management to understand company objectives. • Create new data validation methods and data analysis tools. • Ensure compliance with data governance and security policies. Key Technologies: AWS (S3, Glue, RedShift & DMS), Databricks, Python, PySpark, SQL & Scala.

Responsibilities & achievements

Technical Lead for the EY Crypto Wallet Data project. Design and implement the Data Lake Architecture. Design and implementation of a Lake house in Azure Databricks for various transactions, carried out with 3 families of different Cryptocurrencies. Enhancing the data collection process. Processing, cleansing & verifying of data. Creation and maintenance of various Data Pipelines. Key Technologies: Azure (Databricks, Data Factory, SQL Server, Storage Account & Azure Functions), Azure DevOps, Python, Spark/PySpark & SQL.

Responsibilities & achievements

Create and maintain CI/CD pipelines for different microservices running in EKS using Azure DevOps, and maintain all IaC with Terraform in AWS several accounts. Manage configuration files and templates to ensure consistent changes across different environments. • Freelance DevOps for a Chilean Retailer. • Make use of micro-services to build flexible and scalable applications. • Deploy and maintain built-in environments. • Create and deploy cloud resources. • Administrate application and IaC CI/CD Pipelines. Key Technologies: AWS, Kubernetes, Terraform and Azure DevOps.

Responsibilities & achievements

• Cloud Engineer Contractor for a Medical Company in the US. • Design and deploy applications to the cloud. • Identifying and using appropriate cloud services to support applications on the cloud. • Creating monitors, metrics, dashboards, and other useful form of monitoring. • Troubleshoot pipeline runs and errors during deployments. • Maintaining the usage of cloud services and implementing cost-saving strategies. Key Technologies: AWS (EKS, Fargate, Lambda, Glue & CloudWatch Logs), Kubernetes, Grafana, Terraform, Data Dog & Serverless Framework.

Responsibilities & achievements

DevOps Engineer for UPS. Create and maintain all CI/CD pipelines for an entirely serverless backend written in .NET Core and C# with over 400 Azure Functions and 200 Queues. Administrate Cloud Components with IaC. Propose POC for further architectures in modernization projects. Design and test different Cloud Architectures for different applications. Create and deliver Development Environments to developers. Troubleshoot production problems and mitigate them. Administrate Cloud Environments. Troubleshooting to fix the code bugs. Key Technologies: Azure(Azure Functions, Queues, AppService, Cosmos DB, API Gateway, Azure SQL, Azure Databricks) , Terraform, .Net Core, SQL Server & Cosmos DB.

Responsibilities & achievements

• Security Analyst designated for the BAM/Bancolombia project. • Analyze, Mitigate, Transfer and Document Software vulnerabilities. • Apply software patches and updates to maintain up-to date standards of security. • Investigate data and security leaks. Key Technologies: Nessus, WSUS, Linux, Windows Server, SQL Server & Nagios.

Responsibilities & achievements

• Database Administrator for Guatemalan Insurance Company, Seguros Universales. • Assist with schema design, code review, SQL query tuning. • Install, tune, implement and upgrade DBMS installations. • Write and deploy SQL patches. • Upgrade and improve application schema and data upgrades. • Proactively and regularly make recommendations for system improvements. • Collate, prepare, and present statistical information for internal and external use. Key Technologies: Oracle 11g/12c, Linux, Hadoop, Bash Scripting, JAVA, SQL, PL/SQL, JAVA & Python.