Big Data Analyst/Developer Resume Washington, DC - Hire IT People

PROFESSIONAL SUMMARY:

3+ years of experience in Information Technology, this includes proven hands - on experience in Big Data and Analytics.
3+ years of comprehensive experience as a Hadoop Developer with focus on Development.
3+ years of comprehensive experience in Amazon Web Services
Expertise in business process modeling using Use Cases, Workflow, Sequence, Structured, Activity, Dataflow, and Process flow Diagrams.
In depth understanding and usage of Hadoop Architecture frameworks and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and map Reduce concepts.
Experience in analyzing data using Apache Spark and Hive
Knowledge of NoSQL databases such as AWS DynamoDB..
Designing real-time data streaming systems for both synchronization and analysis using frameworks such as Spark streaming and Logstash
Ability to blend technical expertise with strong Conceptual, Business and Analytical skills to provide quality solutions and result-oriented problem solving.
Handled several techno-functional responsibilities including estimate generation, identification of functional and technical gaps, requirements gathering, solution design, development, product documentation, and provision of production support activities.
A passionate and motivated professional with excellent interpersonal and communication skills, strong business acumen, creative problem solving skills, technical competency, team-player spirit, and leadership skills

TECHNICAL SKILLS:

Operating Systems: Windows, Linux

Frameworks: Cloudera, Hortonworks,Amazon Web Services

Big Data Technologies: Apache Spark, HDFS, Map Reduce, Hive, Tez, Sqoop, Oozie

Programming Languages: Core Java,Scala,SQL

Search Engines: Elasticsearch,Logstash

Reporting Tools: Tableau,Kibana

PROFESSIONAL EXPERIENCE:

Confidential, Washington, DC

Big Data Analyst/Developer

Responsibilities:

Developed an electronic data quality validation system for the new Workforce Investment Opportunities Act (WIOA) Cloud Platform Services (CPS) - Workforce Integrated Performance System (WIPS).
Extensively worked with AWS Elastic MapReduce (EMR) to develop and execute streaming and non-streaming Spark applications which can validate and aggregate data.
Design and implement the data modernization project pipeline using AWS.
Head the migration effort from legacy to Hadoop services at the Employment and Training Administration Department.
Facilitated requirement gathering sessions with the Business Users for the modernization and integration of several grant performance reporting systems.
Documented Business and Functional requirements specifications for the design of a Cloud Provider Service-Performance Review System(CPS-PRS),
Provided extensive technical assistance for developing end-user training materials and testing online performance of the Workforce Integrated Performance Systems (WIPS).
Indexed production and development security log data using Logstash into Elasticsearch.
Prepared reports using Kibana for the Security team to give insight into unauthorized user access to the production and development cluster.
Prepared dashboard reports for the stake holders using Tableau which would be useful in monitoring the performance of Workforce Investment Act (WIA) programs.

Confidential, Tempe, AZ

Big Data Analyst/Developer

Responsibilities:

Developed statistical models and algorithms using Apache Spark for processing large volume of genomic data.
Acted as a prime contact between the Bioinformatics Research Group, which included members of the National Cancer Institute and the development teams.
Conducted rapid software prototyping to demonstrate and evaluate technologies in relevant environments
Actively participated on teams of software developers, researchers, designers, and technical leads to understand challenges, needs, and possible solutions.
Decomposed and translated business requirements into functional, non-functional requirements and created System Requirements Specification document for the Expression Quantitative Trait Loci (EQTL) pipeline.
Generated test plans and test cases from functional requirements, and created a System Quality Assurance plan (incorporating test plans and test cases).
Handled various types of genomic data formats (BAM and SAM) coming from National Cancer Institute (NCI).
Prepared custom reports for the biomedical community with specific interests in Tumor simulations.

Confidential, Charlotte, NC

Hadoop Developer

Responsibilities:

Responsible for managing data from multiple sources such as Centers for Medicare and Medicaid Services (CMS).
Develop MapReduce Jobs in Java for data cleaning and pre-processing.
Extract data from Oracle, PostGreSQL, and Netezza through Sqoop and placed in HDFS and processed.
Creating Oozie workflows and coordinator jobs for recurrent triggering of Hadoop jobs such as Java map-reduce, Pig, Hive, Sqoop as well as system specific jobs (such as Java programs and shell scripts) by time (frequency) and data availability..