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Big Data Hadoop Developer Resume

3.00/5 (Submit Your Rating)

Albany, NY

SUMMARY:

  • Innovative, committed, and collaborative professional with proven skills in Big Data - IBM Hadoop, Confidential, workforce planning, project management, employee engagement, performance management, and partnerships.
  • Knowledge of SNAP and TANF benefit programs.
  • Offer an established track record of exceeding performance goals in demanding roles.
  • Consensus-driven team leader, motivator, and contributor who is recognized for keen business insight and for streamlining operations.
  • Exhibit flawless reporting and communication skills.Implement, communicate and administer performance management systems that support the organization’s mission, and accurately measure organizational competencies.
  • Proficient with Microsoft Applications, Excel, Access, Power Point (2013), Outlook, Intuit Quick Books, CFS Payroll system, Drake Freight Broker Course, MAXe, SIEBEL, ENGAGE, KOFAX, eMedny, NYHBE INTERNAL PORTAL, Avaya CCMA, Maxima Advantage, and SQL.
  • Experience in Oracle BI Reporting software.

AREAS OF EXCELLENCE:

  • Employee Relations Human Resources Regulatory Compliance Partnerships Revenue Generation Problem Solving Employee Engagement Conflict Resolution Policies and Procedures Organizational Effectiveness
  • Excellence in BigData - IBM HADOOP{ Confidential, MapReduce,Sqoop,Hive,Pig,HBase}
  • Excellence in Java and Linux programming Language.

PROFESSIONAL CAREER PROGRESSION:

Confidential, Albany, NY

Big Data Hadoop Developer

Responsibilities:

  • Developed big data solutions using Hadoop platform, leveraging, Cloudera distributions
  • Big data development experience on Hadoop platform including Hive, Impala, Sqoop,Flume.
  • Processed data modeling, complex data structures, data processing, data quality and data lifecycle.
  • Defined Hadoop architectures to meet business requirements
  • Hadoop development and implementation.
  • Pre-processing using Hive.
  • Designed, built, installed, configured and supported Hadoop.
  • Translated complex functional and technical requirements into detailed design.
  • Performed analysis of vast data stores and uncover insights.
  • Maintained security and data privacy.
  • Created scalable and high-performance web services for data tracking.
  • High-speed querying.
  • Being a part of a POC effort to help build new Hadoop clusters

Confidential

Research Administrator

Responsibilities:

  • Processed small business claims for Confidential, reviewed small business accounts, reconciled payments, documented appeals, and acted as liaison between Supervisor and staff members.
  • Demonstrated expertise with eligibility and enrollment programs.
  • Provided flawless management of customer relationships by successfully resolving complex / sensitive administrative issues and disputes and by providing exemplary customer care on a daily basis.
  • Developed data reports, performed database queries, verified date entries for accuracy, and performed special projects in collaboration with other departments.

Confidential, Watervliet, NY

Payroll Specialist/Data Analyst

Responsibilities:

  • Performed payroll-related functions, including payroll processing, audits and maintenance.
  • Completed file imports into payroll system from various sources and reviewed / verified payroll data.
  • Reconciled time sheets, work charts, and wage computations and processed voluntary and involuntary deductions.
  • Answered questions regarding Confidential ’s Comp and prepared documentation.
  • Completed monthly journal entries and performed post audit reviews of payroll registers.
  • Established and maintained positive working relationship with clients, agencies and coworkers to promote quality service image.
  • Performed queries and Ad-hoc Reporting using Oracle BI tools.
  • Code writing using SQL to generate specialized queries based on management requirements.
  • High Availability
  • Fair Scheduler
  • Load balancing of data across the cluster and performance tuning of various jobs running on the cluster.
  • Implementation of Kerberos authentication.
  • Integration/Configuration with various databases like Postgres (default), Oracle.

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