Alan Figueroa

Azure Data Engineer

Mérida, Yuc., México

Followers

Following

Experience of 5 years in Data Engineering, 7 years in Business Intelligence
Development, 10 years in Data Analysis, 4 years in Data Science and
10 years in Financial Analysis.

My main professional interest is providing data-driven solutions, analysis and skills,
applied it to real world problems that generates value for the organization.
High capacity of analysis oriented to achieve goals and ability to
collaborate with multidisciplinary and efficient teams.
In a constant search for improvement, self-learning and conscientiousness.

Careers

Senior Data Specialist

Playful Innovation Business

Full time04/2024 - 07/2024

Build the architecture of the Data Models to functional App, BI Reports, Machine Learning apps.
Determine the dataflow and life cycle of data from a data model.
Design the techincal model to the data pipeline flow inside the organization.
Build the data model based on different databases and sources (Oracle and Azure Databases)
Tools: SQL Server Integration Service (SSIS), Azure

Business Intelligence Specialist

MI Integration

Full time04/2023 - 04/2024

Data modelling & structure for Azure Data Warehouse for on premise, Oracle & SQL Databases
Building Power BI reports and dashboards for Data Decisions of the company.
Constant improvements of the optimization of ETL and scheduling data processes
Manage and build new KPI for different departments: Finance, HR, Production, High Management
Tools: Python SSIS (SQL Server Integration Services) SSAS (SQL Server Analysis Service), SIMEGO, Data
Syncronization Studio, Azure Data Studio, Tasks Schedulers, Power BI, DAX Functions, Snowflake, SQL
Scripts, ERP System (Oracle Database), API Service, GitHub, Python Scripts and Jupyter Notebooks.

Looker Technology Lead

Google - Infosys

Full time09/2021 - 03/2023

Training in the domain of ETL Process, Data Modelling with SQL, LookML and Visualizations
with the tools of BI Looker.
Support to clients that use the tool solving cases related to exploration, modeling and data
extraction.
Coordinating service request processes and tracking performance metrics.
Tools: Look ML, SQL Codes, Connection with multiple databases (BigQuery, AWS Redshift, AWS,
Aurora, AWS S3, Snowflake, SQL Server, PosgresSQL, etc.), Google Cloud Platform Services (GCP),
Zendesk, Jira, Git, Snowflake, Databricks.

Education

Universidad de Sonora

Data Science

08/2020 - 10/2022Master's DegreeClass of 2022

Universidad de Sonora

Finance

08/2019 - 06/2021Master's DegreeClass of 2021

Universidad del Valle de México

Business Administration

01/2015 - 02/2018Bachelor's DegreeClass of 2018

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Skills

PythonSQLData processingData EngineeringData analyst FinanceCommunication skillsGoal-orientedAnalytical

Experience1-3 years

Hourly rate$35/hr

Open to

remotehybrid