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Project Manager Resume

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SUMMARY

  • IT Professional with 17+ years of experience in industries like Banking, Manufacturing, Consulting and Advertising. with 7 years performing as Oracle and Big Data Manager, with experience in Data Management, ETL definition and integration of different Big Data tools, Data Quality implementation to maintain AML systems relational integrity.
  • Experience with Solaris, Linux, MacosX, Hadoop, Mongo, Storm, Spring, Oracle DB and Toad defining QA strategies and testing (UAT), PMP & CMMI.
  • Optimization and automation of business processes.
  • Overall 17+ years of IT experience
  • IT Project Manager with 11+ years of experience in Banking domains
  • Strong knowledge of Anti Money Laundering (AML) area in banking industry
  • 5 year experience on IT for other industries (Retail, Advertising, Musical Studios, etc) as independent developer.
  • Effective creation of Project Schedules & timelines
  • Reliable project scope definition and Capacity planning of project´s working teams
  • Preparation and presentation of weekly status reports and Monthly project tracking meetings
  • Worked with legal team and Delivery manager preparing RFP contracts for new projects and/or opportunities, cost estimation and team sizing
  • Worked on various integration and technology transformation projects which require extensive co - ordination between various teams including multi-vendor projects
  • Knowledge and appliance of Capability Maturity Model Integration (CMMI Level 5) and PMI best practices
  • Managed Business Requirement document (BRD) and Functional requirement document (FRD) for identification of functional requirements in testing projects
  • KPI definition within project execution to monitor proper pace and quality of the project development/execution
  • Manage and timely report of defects, risks & decisions within the project to ensure they are addressed in a timely fashion and are tracked before risks become issues
  • Skilled at performing GAP analysis, User Acceptance Testing (UAT), Cost benefit analysis and ROI analysis
  • Strong working knowledge on MS Office suite including MS Excel, MS Access, MS Power Point, MS Visio
  • Strong expertise in Oracle´s SQL queries, and JavaScript commands for MongoDB, as well as other database management systems
  • Strong expertise in UNIX shell scripting
  • Knowledge and practice of waterfall and agile (scrum) project methodologies
  • Strong experience in project management tools like MS-Project for status reporting and project planning and Digite´s PROMT for project follow-up
  • Excellent analytical and communication skills and ability to work independently with minimal supervision and also a great team player

TECHNICAL SKILLS

Big Data: Hadoop, Mongo, Storm, D3, Drools, Spark

Programming Languages: JavaScript, C, PIG, Python

Web Technologies: XML, HTML, Rest, SOAP

Databases: SQL, Oracle, MySQL

Operating Systems: Windows XP, 7, 10, Solaris 10.X, Linux, MacosX

Framework: Spring, Rails

IDE: TOAD, Rstudio

Scripting Languages: HTML, Java Script, bash (shell script), 4th dimension

Other Tools: WebEx, MS Office, Project, Crystal Report, Confluence, VSTS, HPQC, Remedy, Citrix

PROFESSIONAL EXPERIENCE

Confidential

Project Manager

Responsibilities:

  • Using Mongo, I´ve created a function that simulates Oracle´s JOIN. Since in Mongo join function desn´t exist.
  • The process asks for a string, which is used as argument to search for a specific customer in the customer´s collection, from there, it takes customer’s number to search into the customer’s account collection, and from there, it takes all the accounts related to the customer and searches for all the movement on the cash collection.
  • It becomes an easy process for the user, the user’s process is entering the customer’s name and the system returns all cash movements done in all his/hers accounts.
  • Participate creating a process (batch process, that is why we used Hadoop) that triggers an alert when a customer´s data meets some specific criteria. This means that a large customer file is processed using Hadoop map-reduce capabilities and after the process finishes it delivers a small and manageable set of alerts.
  • This process already existed on the mainframe (host) but it took 2.5 hrs. to complete. Running it on Hadoop with Linux we could get the processing time down to 1.4 hrs.
  • Collaborated on a solution that integrated different technologies to identify customers that are trying to use bank´s infrastructure to do money laundering activities, on-line using rabbit mq, rest and oracle for persisting data. To accomplish this we are working with the following technologies:

Confidential

Design&Development project leader

Responsibilities:

  • Version upgrade (from 4.0.3 to 5.7.2)
  • Creation of Corporate Layouts for Mantas Latest version (used internationally)
  • Identification and solution of productive problems (Informatica and Oracle DB)
  • Design, development and implementation of a separate system for user authentications for Mantas System.
  • Design, development and implementation of a separate system used to monitor Mantas components
  • Control-m modification to stabilize Mantas daily productive process
  • Integration of new transactions and productive scenarios in Mantas (Mexico, Peru and Chile)
  • Integration of new risk segments to the productive scenarios in Mexico
  • Installation of Mantas system for Chile
  • AML Production maintenance for 4 countries (México, Chile, Peru and Colombia)
  • Design, development and implementation of data input with QA process for Mantas system from Host
  • Identification of productive issues (QA for behavior detection)

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