Immutable Data is an elastic data engineering and data science consulting firm. Fernando has managed several clients.
As a chief data officer for Sante Circle Health:
- Designed and architected secure data infrastructure on AWS.
- Managed a team of software engineers (three full-stack).
- Designed data warehouse on Redshift.
- Hired and mentored new talent.
- Designed and developed policies and procedures to be followed by the organization.
- Secured AWS infrastructure to ensure SOC Type 2 and HIPAA compliance.
As a senior data engineering consultant for SERMO:
- Built data warehouse in redshift to ingest over 1 billion records and reduce BI query time to 1 second or less.
- Built custom python ETL pipeline to move around 2 million data points per day from Postgres OLTP to Redshift to feed ML algorithm in order to mine physician posts and understand what there interest are.
- Administered SISENSE cluster and reporting platform to centralize BI reporting and reduce report loading to 5 seconds or less.
- Developed custom queries and SQL procedures for ad-hoc reporting.
- Redesigned data warehouse model to accommodate multi-dimensionality of data.
- Led the data team with eight engineers and two scientists).
- Maintained relationship with decision maker.
- Deployed ETL works across the organization.
- Trained engineers on Airflow deployment.
As a data engineering project lead for Kinduct Technologies:
- Administered JIRA board.
- Trained and developed in-house talent on project management and data engineering.
- Performed hiring interviews.
- Developed employee training and development map.
- Architected ETL pipeline using airflow, MySQL, Postgres, Redshift, and Snowflake.
As a director of technology and training for NobleProg:
- Developed training curriculum for courses in the data engineering and data science realm.
- Maintained client relationships.
- Delivered training for clients like L’Oreal Canada, Department of National Defense, Logitech East Asia, Government of Mexico, Bell Canada, TD Bank, and California Revenue Board.
- Awarded the Best Rated Training of 2018.
As a data engineering consultant for Androdon Capital:
- Developed a data pipeline using Python and google cloud as backend to move over 357 million records.
- Coded proprietary FX and stock trading models in C#.
- Processed over 3 million data points a day.
As a data consultant for the Government of Estonia:
- Developed a market report on the state of data scientist job market in North America.
- Introduced the idea of creating a conference focus on technology in North America. That idea matured to become what today is Latitude 44.
