Data Engineer. Fullstack Engineer. Cloud architect.
I am currently maintaining the company’s primary ETL pipeline. This pipeline ingests raw events and loads them into our datalake in Snowflake. It also sends them to Datadog for log ingestion.
The ETL is written in Go, and is deployed via Docker container to a Kubernetes cluster. As of Summer 2023 this cluster is in AWS EKS, but it is being moved to GCP GKE.
The main directive for Boingo engineering for the year 2023 is to migrate all of our cloud infrastructure from AWS to GCP. This is a massive undertaking, as it involves learning what the GCP equivalents are for AWS services and then adapting existing AWS code to work with a GCP environment.
Designed and implemented ETL processes using Python to synchronize data between BambooHR and AdaptiveWork through our Snowflake data lake, enhancing the efficiency of Boingo’s operations team.
Authored complex SQL queries using GoogleSQL for G-mentors, an internal mentoring platform for Google employees, extracting and manipulating data. Created dynamic dashboards using an internal version of Google Data Studio, providing clear insights to stakeholders involved in G-mentors.
Worked with UX designer to develop Android application. Integrated Firebase into Android for database access.
Stood up backend services using Google Cloud Platform and Firebase, using Firestore as a database and Cloud Functions to process app logic.
Consulted with UX designer to create user-friendly Android application that extended the company’s webapp (construction online) to mobile. Used Retrofit and RxJava to interact with REST API to retrieve user data