Director, Marketing Technology Resume New York, NY - Hire IT People

SUMMARY:

Designer/Data Architect/Systems Architect & Builder with great passion for building production systems processing large amounts of data.
Experienced in delivering innovative Analytics, Big Data, Data Warehouse, Cloud Based SaaS, B2B, B2C software solutions that creatively leverage databases and open source data technologies.
Led high performing teams with commensurate planning and budgetary responsibility in established, rapid growth and startup organizations.

SKILL:

Agile Practices/Tools: Scrum, Kanban, XP, TDD, Jira, Confluence, Continuous Integration, Continuous Deployment

Database Experience: PostgreSQL, MySQL, AWS RDS, Big Query, MongoDB, Apache Hadoop/Hive, Oracle, MS SQL, DB2

Programming Languages: Python, JavaScript, NodeJS, Ruby, SQL, PL/SQL, Perl, C and C++

Web Frameworks: Django, Node, Express, Ruby on Rails, jQuery, Bootstrap, AngularJS, Cordova, Ionic

Data Modeling Tools: Erwin, Toad Data Modeler, Embarcadero/ER

Operating Systems: Linux, UNIX, Mac OS X and Windows

PROFESSIONAL EXPERIENCE:

Confidential, New York, NY

Director, Marketing Technology

Responsibilities:

Led the development of AWS cloud - based SAS Marketing Automation and a Marketing Operational Datastore hosting 6TB of data in Postgres and adressed related data storage and data access performance issues.
Extracted operations and finance datasets from data sources hosted in: Postgres, MySQL, Amazon RDS, Google BigQuery and Oracle. Developed ETL logic using tools such as Informatica, AWS Glue, PySpark and Python.
Contributed to data modeling and design activities via feedback and reviews. Built and integrated w/ APIs.
Managed integration with DMP’s such as Blue-Kai and Krux and Optimizely for AB Testing.
Led, mentored and inspired a passionate group of developers comprised of 5 teams and 25+ people.
Efforts had a bottom line positive impact of 6% in 2017. These results were achieved through improved marketing capabilities and cost reductions.
Collaborated with internal stakeholders to identify performance metrics utilized throughout the company.

Confidential, New York, NY

Head of Product and Engineering

Responsibilities:

Participated in business development activities with potential customers and fund raising activities with potential investors. Implemented Agile software engineering and product development best practices.
Developed staffing and budget plans, for software engineering, QA, DevOps, project management and product management.

Confidential, New York, NY

Senior Vice President of Engineering and Product

Responsibilities:

Recruited members of the data science and engineering team including developers, QA, DevOps, Product Managers and Data Scientists. Built a passionate team working on the product.
Implemented Agile, Software Engineering, Product Management and Technical best practices.
Nurtured a world class team to build a product that engaged K-12 education purchasing decision makers and buyers. Led the engineering team through successful production releases.

Confidential, New York, NY

Director of Data Engineering

Responsibilities:

Led the architecture, design, definition and development of a scalable web-based data warehousing, reporting and analytics platform for the Confidential and Confidential the two consortia that represent the student populations for 47/50 states in the U.S. The databases for Confidential hosted 25 TB of data and the databases for Confidential hosted 15 TB of data.
The Confidential and Confidential systems were architected to support 10,000’s of concurrent users and scales horizontally to seamlessly support spikes in usage. The systems were hosted in the cloud on Amazon Web Services (AWS). Core technologies include JavaScript, CoffeScript, Python, Postgres, RabbitMQ, Bootstrap and Pentaho BI Suite. Infrastructure monitoring was done using the ELK stack.
Inspired the team to deliver the project on time and within budget. Wrote proposals which won competitive bids for both projects.
Led the data architecture, design and development efforts of the data warehouse and data marts used for reporting, analytics and visualization of student data collected on the company’s assessment products.
Designed and led the development of the data ingestion (ETL) infrastructure for processing 3rd party data.