Close this
Close this

David Molano

Development
Bogota, Colombia

Skills

Python

About

DAVID MOLANO VASQUEZ's skills align with Programmers (Information and Communication Technology). DAVID also has skills associated with System Developers and Analysts (Information and Communication Technology). DAVID MOLANO VASQUEZ appears to be a low-to-mid level candidate, with 4 years of experience.
View more

Work Experience

Senior Software Engineer, Correlation One, Remote

January 2021 - Present
  • administration tasks reducing manual work required for course set up allowed course managers to manage 2 additional courses using Django and Google Cloud Scheduler. • Integrated with external ATSs and removed the need for manual input of data from job seeking candidates, increased the number of internal applicants to partner client jobs positions using Python and different vendors APIs. • Created a job ordering algorithm that increased job seeker fit to job posts by 18% using Python, Django and Postgres database. • Added geolocation information capturing to job candidate filtering platform increased job seeker fit to job posts by 22% using Geo-Django, PostGis and Geocode API. • Automated course admissions process reduced the hours of manual work required by course administrators by 20hr a week, using Flask MongoDB, Google Cloud Tasks, Google Cloud Scheduler, Google Cloud Run, Pulumi and Github Actions. • Created onboarding and maintenance guide for legacy projects reduced onboarding time by 30%, using Docker, Kubernetes, Java, Python and Django. • Decomposed a core big monolithic application into smaller micro-services which led to 40% reduction in deployment times, a 25% increase in system scalability, and a notable enhancement in development agility by independent teams using FastAPI, Postgres, Google Cloud Firestore, Google Cloud Run, Google Cloud Scheduler and Pub/Sub. • Lead the data migration of more than 100.000.000 legacy database rows to new data schema resulted in a 50% improvement in query performance, a 30% reduction in data retrieval times using Airbyte, Python and Postgres. • Automated deployment to different long lived and ephemeral environments which eliminated manual work required for engineers when deploying as well as reduced time to review pull requests using Google Cloud Platform, Github Actions, and Terraform. • Changed Front End application deployment method reduced time to deploy by 95%, reduced infrastructure costs by 70% using

Software Engineer, Correlation One, Remote

Terraform
May 2020 - December 2021
  • • Speed up long running processes reduced processing time by 30% using Django ORM optimizations. • Implemented user invitation to join the platform increased the number of successful sign ups 40% using Django and Mailgun. • Created an educational content management system that decreased the number of errors in content presented to students by 90%, saved more than 20 hours per week to contributors using GitHub, Google Sheets API, Python and Jupyter Project tools. • Created a data science content editor which increased content creator delivery speed by 30% using Python, Jupyter project tools and Google Cloud Platform. • Created a storage system of large files required for data science content reduced unnecessary download/upload operations by 95% using Python and Google Cloud Storage library. • Automated grading of student homework increased the NPS score given by course students by 37%, increased feedback speed from teachers to students by 45% using Python and Jupyter NBGrader. • Implemented user activity tracking data increased NPS score given by job seekers by 17%, Django and Postgres database. • Created protocol for secret management reduced the number of errors when configuring servers, increased security when accessing secret values using Python, Terraform and Google Secret Manager. • Implemented file upload feature of students homework increased file size limitation up to 25 GBs using Django, Python and Google Cloud Platform libraries.

Testing Intern

Endava
January 2020 - March 2020
  • Implemented an automated test suite for an internal project that included API and integration testing, using Selenium Java API and RESTAssured

Education

Pontificia Universidad Javeriana

BS
July 2015 - May 2020