Candidates About

·         Designed code to build out highly scalable and reliable software.

• Created Python ETL code to handle 10 terabytes of uncompressed data on a daily basis, achieving scalability to 100 terabytes per day.
• Tracked/logged event data for ETL code using MariaSQL and SQLite
• Created data ingestion Python Code using RabbitMQ and Pika Library - code runs on 300 servers
• Deployed Python code as RPM packages
• Created Xbox API Client using JSON Web Tokens
• Created tools to convert JSON to Parquet.
• Created tools to manage Avro Schemas for different Avro Tools
• Tested and refined systems throughout the development cycle of the project.
• Worked closely with design in the development of products.
• Wrote clear, maintainable, portable code.
• Participated in code and architecture reviews.
• Used Agile/Kanban methods to develop software.
• Technical Environment:  Python, Hadoop, RabbitMQ, Pika, JSON, Arvo, Parquet

Bank of America - Charlotte, NC

Nov 2013 – Oct 2014

Senior Python Developer

·         Developed capital markets applications supporting the fixed income and derivative trading businesses supporting middle office P&L needs using Python 2.7

·         Delivered complete spectrum of technology solutions to the capital markets business with the data warehouse being one key component.

·         Used strong object oriented software development methodologies and agile development environment in Python with Oracle databases and NoSQL object databases.

·         Developed software to build Python OOP based processes to load intraday and end of day trading data into a real-time dimensional data warehouse.

·         Exposed to fixed income, interest rate and FX products and their trade life cycle.

·         Built applications upon BoA’s Quartz platform.

·         Technical Environment:  Python, Oracle, NoSQL, Quartz

Catalina Marketing - St. Petersburg, FL

Mar 2012 – Nov 2013

Senior Python Developer

·         Developed Python based software systems to target and personalize distribution of coupons, messages, and advertisements to consumers via mobile, on-line, and in-store networks of select retailers.

·         Data Center Migration to AWS US East and US West EC2 instances. Migration from Redis key value stores to AWS DynamoDB. Migration from Celery to AWS SQS services.

·         Established ETL processes and quality assurance techniques to test and develop scalable systems capable of handling over a billion unique consumer shopping identities and purchase histories per week.

·         Conducted business and data research to develop functional requirements for development projects.

·         Developed software to interact with Netezza and Oracle databases to sustain and lift capacity for various growing-in store networks.

·         Developed web based RESTful API’s and queuing strategies to deliver manageable job processing tasks.

·         Deployed several MongoDB instances for website. Created Python scripts to interact with MongoDB using BSON.

·         Deployed MariaSQL/MYSQL databases as alternatives to SQLite databases for Python backend development.

·         Well versed in object oriented development practices and agile development methodologies.

·         Conducted User Acceptance Testing (UAT) and testing procedures to roll out software projects into Production.

·         Created a set of internal applications using Django. These sites monitored server conditions, ETL work, and other processes.

·         Technical Environment: Netezza, Oracle, PostgreSQL, MySQL, MongoDB, Redis, Memcache, NGINX, HTTP, SSL, CSS, HTML, REST, Python, Bottle, cx_Oracle, Psycopg, Celery, Flask, Bottle, Git

Lennar Corporation - North American Title Group - Miami, FL

Mar 2005 – Mar 2012

Devops Manager - Python Developer

·         Worked with the title insurance group holding company’s executive management with their policy and claims systems, correct premium and unearned premium calculations, revenue recognition issues, and agent audits.

·         Assisted in completion of National Association of Insurance Commissioners (NAIC) Form 9 Annual Statement Filing.

·         Coordinated the completion of annual data calls in over 25 licensed states with various regulatory agencies.

·         Developed CRM website using Python 2.6 and Web2Py. Transitioned changed from web.py

·         Over 1000 tables, functions, and pricing algorithms updated annually.

·         Maintained a proprietary system developed with Python and PostgreSQL to track all policies and claims.

·         System contains over 1,000,000 policy contracts and several thousand claims.

·         Supported over 750 users.

·         Developed training software for agents and underwriters.

·         Migrated database system from MySQL.

Key Accomplishments:

• Successfully integrated the accounting/technical functions between two title insurance underwriters upon merging the companies
• Back tested different premium revenue models for the Florida Office of Insurance
• Regulation’s study on title insurance premiums and reissue discounts.
• Developed key SQL queries and stored procedures to comply with various state’s data calls and regulatory requirements.
• Developed web service to provide quotes in states where rate tables were promulgated by various Departments of Insurance
• Revenue recognition lags shortened from 120 days to 15 days
• Direct Premium Written increased from $25 Million in 2005 to $75 Million in 2010.
• Expanded from 8 states to 27 states.
• IT processes sped up revenue recognition and scaled for increased revenue and state licenses/regulations.
• Technical Environment:  Python 2.6, PostgreSQL, SQLite, Mercurial

Carnegie Mellon University

Pittsburgh, PA

Bachelors of Science, Logic and Computation

Interdisciplinary program in computer science, mathematics, logic, and statistics

Tampa Bay Python User Group

-Presentation on Graph Databases Using Python and AllegroGraph

-Presentation on Using Python Bottle For Restful Services