Fernando is a data engineer and SQL expert with domain knowledge in finance and healthcare. He's created companies and data systems for some well-known entities such as the Olympics Committee and Queen's University. Fernando's work in the medical research field was pivotal in obtaining over $50 million in investment, and he also co-founded an innovative DaaS healthcare company that was later acquired by a multibillion-dollar conglomerate.
Automated due diligence processes to reduce cost. Applied NLP on financial and pitch documents for context extraction.
Completed due diligence using data analytics tools on benchmarking against the universe of potential investments.
Integrated multiple data feeds into our data lake to potential benchmark investments.
Data Analytics
Big DataData Lakes
Amazon Web Services (AWS)
Goodwater Capital
Senior Data Architect
2021 - 2022 (1 year)
Remote
Migrated environment to Google Cloud Platform (GCP) while managing two data engineers and one data scientist.
Moved over 20 TB of data to BigQuery. Set up ETL pipeline using Airflow. Tuned queries and designed BI architect system.
Managed a team of three data professionals. Migrated the entire environment to the cloud.
Google Cloud Platform (GCP)
BigQuery
Apache Airflow
Big DataSQLETLPython 3
NobleProg
Corporate Training Director
2017 - 2020 (3 years)
Remote
Trained the Royal Canadian Navy on how to do data analytics on AWS.
Coached a team of DBA and database developers working for the federal government of Mexico in PostgreSQL administration.
Instructed a team at Logitech Asia headquarters in testing and tinning PostgreSQL queries.
Developed the curriculum and syllabus for the following technical areas: PostgreSQL, database development and administration, AWS cloud computing, GCP cloud computing, and MariaDB administration.
Trained multiple clients in data visualization using PowerBI.
Developed data warehouses for various clients, including ETL jobs, data lakes, and data pipelines. I designed and administered MySQL clusters as well as PostgreSQL instances.
Built a custom sports analytics platform for the US Olympic Committee using MySQL, PostgreSQL, Snowflake, and Python. Using DMS, I created an ETL pipeline and used Snowpipe to move raw data dumps into a virtualized Snowflake data lake.
Set up a data warehouse for a professional social media platform. I designed a pipeline that ingested data from MySQL and PostgreSQL and combined them into a data warehouse I created.
Performed DBA tasks on MySQL and PostgreSQL instances to ensure reliability and availability. It included troubleshooting slow queries, configuring buffers, provisioning hardware, and networking equipment.
Created ETL jobs using ETL works platform etlworks.com. We performed multiple transformations from raw dumps, PostgreSQL dumps, to Redshift.
Hired a team of seasoned data scientists to support client operations.
Developed multiple dashboards for multiple clients using PowerBI, Metabase, Tableau, and Looker.
Created a physician influence tracking tool using over 1.2 billion records from both government and private companies. The transnational nature of the application was powered by a cluster of five MySQL servers.
Optimized MySQL cluster to ingest over 1 billion records and perform sub-1-second queries with over 1000 concurrent connections.
Managed a high-performing team of full-stack developers.
Negotiated the sale of the company to a multibillion-dollar conglomerate.
Built the first online patient randomization system. It was a revolutionary way to enroll patients into blind randomized control trials. The system was powered by our on-premise My-SQL database cluster of three nodes.
Developed an open source longitudinal in-patient electronic data capture system in conjunction with Vanderbilt University.
Constructed a custom electronic data collection system for the largest nutritional-based randomized in-patient clinical trial study.
Performed SysAdmin tasks on a cluster of Unix servers where MySQL was installed and running. It included patching, troubleshooting slow queries, and ensuring uptime.
A custom online tool that tracked how each physician in the US was doing in their field in comparison to their peers.The tool tracked:• Number of procedures performed• Amount of billables• Published articles• Shared patients• Social media feeds• Conference speakersThe goal of the tool was to show to clients which physician was an influencer in order for them to pitch their products to them.
The high-performance division of the US Olympic Committee asked my team and me to develop an internal tool to collect and analyze athletes' performance data and predict possible injuries. We collected wearable/sensor data plus questionnaire data and medical records and combined them into a data warehouse.The orchestration was done using Airflow, and the warehouse was built on Redshift.
I developed a high-frequency trading algorithm for a boutique financial firm in Toronto. The algorithm would look at current pricing and trends of different currency pairs and would execute trades based on a predictive model.
Conducting a randomized control trial across multiple centers in multiple geographical areas presents a unique set of challenges. Traditionally sealed envelopes are used to randomize the next patient. When multiple centers are involved, that strategy can't guarantee a balanced set of arms. That's where the central randomization system comes in. This online tool guarantees patients are enrolled in a blind, double-blind, or balanced arm study from anywhere in the world. It provides different access levels to allow for patient unblinding in case of a serious adverse event while maintaining the blindness of the study.
Here are the Google Qwiklabs badges and quests that I've obtained thus far.• BigQuery Basics for Data Analysts (Earned Jun 15, 2020)• Baseline: Infrastructure (Earned May 15, 2020)• Google Cloud Essentials (Earned May 13, 2020)
Education
Postgraduate Certificate in Digital Marketing
Power Business School
2021 - 2022 (1 year)
Advanced Diploma (Graduated with Distinction) in Computer Programmer Analyst
St. Lawrence College
2006 - 2008 (2 years)
Bachelor of Science Degree in Computer Engineering
URBE University
2002 - 2006 (4 years)
Continuing Education Diploma in Big Data Analytics
Caltech via Coursera
Continuing Education Diploma in Big Data Analytics
MIT xPRO
Master of Business Administration (MBA) Degree in Business
