I've been described as making the team better than the sum of the parts.I build relationships and enjoy learning about other cultures.But I also build software platforms.I like the steep part of the learning curve with certifications in analytics, machine learning / artificial intelligence, Amazon Web Services / AWS cloud, Snowflake, Python, Postgres / SQL databases and Generative AI.I designed and developed a cloud-based predictive analytics platform for GE Power to determine turbine wear, resulting in more accurate outage planning.I developed and deployed a cloud computing platform based on Python / Django and PostGres SQL running on the AWS cloud with SaasOptics. Leveraging Amazon SNS, we created a financial platform to help small to mid sized companies manage their cashflow. We leveraged machine learning libraries (numpy, pandas, scikit-learn) to manage large data sets.Please see the recommendation from Dave Ryan, Founder of SaaSOptics.SaaSOptics led me to Warner Media where I worked as a contract senior python engineer and later as a hired senior python engineer. In my role as a senior python engineer I leveraged Python,AWS (Amazon Web Services) and relational databases (PostGreSQL and Snowflake) to address business intelligence needs. Much of my focus was designing new features, developing and deploying new functionality and maintaining the Python platform which extracts data from AWS (Amazon Web Services) S3 buckets, and loads into Snowflake database. Once again we leveraged libraries including numpy, pandas, scikit-learn to optimize processing of large data sets.More recently, as a senior python engineer with Disney, I've delivered and deployed cybersecurity software for tracking threats via daily queries of CISA cybersecurity database, identifying which of the myriad of computer systems throughout the Disney web are protected and where cybersecurity vulnerabilities lie. I was "the guy" who implemented Disney's transition from Kenna Security to Recorded Future as a source-of-truth regarding cybersecurity threats.Strengths: - team building - customer interaction - always-learning mindset - willingness to be wrong, but not oftenLanguages and skills: - Python (Programming Language) - Numpy - Pandas - Django - Snowflake - Postgres - MySql - Linux / Unix - Rest APIs - JSON - machine learning - artificial intelligence - AWS / Amazon Simple Notification Service (SNS) - AWS / Amazon EC2 - AWS / Amazon S3 - AWS / Amazon SQS - AWS Lambda - Gitlab / Github - Amazon Web Services (AWS) - Software Development Life Cycle (SDLC)
Listed skills include Mysql, Etl, Data Warehousing, Amazon Web Services, and 41 others.