I am currently assigned to a client in the banking sector, working with AWS technologies, ingesting data into the datalake, using tools with AWS Glue and AWS Cli. Creation of automatic processes, control boards and support of KPIs on a regional basis. Identify and raise opportunities for improvement in business processes by applying the resolution of analytical solutions. I currently lead engineering and data analytics projects, related to customer classification processes and information ingestion for model optimization.

I currently lead an analytics area at Zenta, which must ensure the implementation of EDA (Data Exploration) to understand its nature and generate preliminary analysis. Preprocessing data by cleaning, transforming and packaging into structures useful for processing.Analysis through the selection of appropriate techniques and the construction of processing models (classification, grouping, prediction, etc.). Research, development and implementation of new programming techniques that enable statistical analysis. Use statistical and artificial intelligence techniques to extract value from different data sources. Report generation and visualization in Looker. Implementation and monitoring of the performance of both descriptive and predictive models in business processes-Manage and manage data teams, in terms of administrative processes (vacations, leave, bakcup, among others)- Supervise the different data services that we provide to our clients.- Ensure the effective integration of the data management process with other processes.- Guarantee compliance with standards, procedures in the management of data services.- Attend appropriate development review and management level support (including supplier, customer and development meetings).- Compare and analyze process measurements associated with data management and recommend improvement activities based on service deviation.- Guarantee the quality of the services provided by the various teams in the area.- Design and create strategic operational plan for the area to meet company goals.- Knowledge of cloud environments, as well as data management solutions.- Among others.

Design and construction of ETL in GCP and AWS cloud environments and hybrid environments. Participation in cloud migration projects, design of resilient data architecture solutions in cloud environments. Construction and design of corporate datalake in near real time. Use of tools such as Data Fusion, Dataflow, Compute Engine, Cloud Storage, Amazon S3, AWS Lambda, AWS Glue, Amazon Athena, Amazon DynamoDB, among others. Tools in on-premise systems Datastage, development of CAWA meshes. Working under agile methodologies such as Scrum and Kanban, Project management through PMI. Tools such as Confluence, Jira, BitBucket version control, GitHub, Rational (RTC), among others.

Data ingestion processes from Storage to BigQuery, financial accounting processes, establishment by processing and transforming data with Dataflow with the open source Apache Beam programming model with the Java language (Eclipse). Modification of codes for the optimization and configuration of ingestion processes. I work under agile methodology such as Scrum and use of Kanban, Miro, Confluence and Jira.

Data ingestion processes from Storage to BigQuery, financial accounting processes, establishment by processing and transforming data with Dataflow with the open source Apache Beam programming model with the Java language (Eclipse). Modification of codes for the optimization and configuration of ingestion processes. I work under agile methodology such as Scrum and use of Kanban, Miro, Confluence and Jira.

Professor in the chairs of Differential and Integral Calculus, Statistics applied to Economic and Social Sciences.

Design and development of new data models allowing intuitive analyzes for clients. Executed data pipelines ingesting and moving data (both large and small) to the Data Warehouse using BigQuery. Knowledge of Python and Management SQL Server for Postgre. Preparation of Exploratory Data Analysis. Preparation of reports with Power BI and Tableau

in Google Cloud Platform (GCP) systems architecture, handling of Python. Knowledge of GCP tools (e.g. SQL, Big Query, Cloud Storage, Dataflow, Dataproc). Experience with data visualization tools such as Google Data Studio, development of scripts for automation of orchestration processes in the cloud.

Administración de flujos de trabajo (DAG), en el entorno de Airflow para realizar acciones administrativas. Desarrollo de scripts en BigQuery y administración de bases de datos relacionales en Cloud SQL para Postgre SQL. Manejo uso de herramientas como Python y SQL Server para el procesamiento de datos. Conocimiento avanzado en metodologías ágiles como Scrum, kanban.