English:
Upper Intermediate
Nicaragua
UTC -06:00
America/Managua
Experienced Software and Data Engineer with a history of developing robust backend infrastructures.
I'm an engineer with a history of developing robust backend infrastructures, designing data pipelines, and optimizing data solutions across diverse industries. Proficient in technologies like Python, SQL, Azure, and AWS. Proven ability to enhance decision-making processes, streamline data flows, and drive strategic initiatives through actionable insights.
Want to hire this engineer?
Check if Michael is availableExpertise
Years of commercial development experience
4 years of experience
Core technologies
Other technologies
Project Highlights
OOQIA
Jul `21 - Present
3 years
OOQIA
IT outsourcing service provider Was responsible for architecting and implementing backend systems and data pipelines for large-scale applications.
Responsibilities & achievements
- Developed the backend infrastructure for a video conference application utilising the Twilio API, seamlessly integrated with Microsoft Booking for efficient appointment scheduling. - Architected the backend of a payment system using the iOS In-App Purchases SDK, Azure Functions, and Python for robust and efficient transaction processing. - Implemented an efficient queue system using Redis Queue, significantly reducing request waiting times and enabling effective parallel processing. - Designed and implemented the backend system for a data ingestion platform utilising Flask, containerised with Docker, and integrating Airbyte, Dagster, dbt, and Snowflake to replace an outdated legacy system. - Created scalable ELT pipelines on Azure using Databricks, Apache Spark, and Python for efficient data integration from varied sources, enhancing organisational decision-making
CONTOLLO
May `21 - Jul `21
2 months
CONTOLLO
Consulting agency, IT Services, and IT Consulting. Works with application architecture, IT systems oversight and accountability
Responsibilities & achievements
- Migrated data to a newly developed data warehouse from Firebase and QuickBooks API, adhering to business rules for data warehousing and modeling in an Azure SQL Data Warehouse. - Designed and implemented robust data pipelines using Python, streamlining the organisation's data flow and integration processes. - Implemented data pipeline orchestration using Apache Airflow, which ensured efficient maintenance, updates, and overall management of the company's data warehouse.
SEGUROS LAFISE
Jan `21 - May `21
4 months
SEGUROS LAFISE
Insurance company based in Central America. Offers various insurance services, including life insurance, health insurance, property insurance, and other related financial services. Is part of the larger Lafise Group, which operates in the banking, insurance, and financial sectors across multiple countries in the region.
Responsibilities & achievements
- Constructed and optimized data pipelines for seamless integration with Tableau, enabling efficient generation of reports and dashboards for in-depth data analysis and decision-making. - Defined, extracted, and processed KPIs from diverse data sources, ensuring accurate metrics to evaluate the company's strategic objectives' alignment and performance.
TELEFONICA MOVISTAR
Jul `17 - Dec `20
3 years
TELEFONICA MOVISTAR
One of the largest telecommunications companies in the world. Focused on technology making people's lives easier. Has an innovative range of digital and data services.
Responsibilities & achievements
- Developed robust BI solutions, providing client management with essential data insights to refine decision making and optimize commercial campaigns. - Crafted and optimized SQL queries and ETL packages using T-SQL and SSIS, ensuring seamless data ingestion from various source systems into the SQL Server data warehouse. - Created dynamic reports using PowerBI and SSRS, converting raw data into actionable insights that empowered strategic and operational decision-making processes. - Designed and developed multidimensional cubes using SSAS, facilitating efficient data retrieval and enhancing analytical capabilities for deeper insights. - Unified two legacy systems into a pre-existing data warehouse, employing best data modeling practices, and thoroughly documented the integration process. - Led data engineering efforts in response to the product team’s initiatives to profile customers and optimize marketing targeting campaigns.
Education
Higher education in Computer Science
Agency
10-50
GMT-11
Mountain View/California
Core Expertise
Industries
Information services & Technologies, Cybersecurity & Data Protection, Data Science & Machine Learning, Branding, design, web development
Want to hire this engineer?
Check if Michael is available