Big Data Engineer Fellowship Resume Dallas, TX - Hire IT People

SUMMARY:

Solving complex business problems and Fueling Multimillion - Dollar Revenue Growth
Solutions-driven Big Data Engineer with 6 years of industry experience in Data Warehouse & Data Mart development, Data Analysis for Online Transaction Processing (OLTP), Business Intelligence (BI) applications, Hadoop/Spark development, SQL Server, and end-to-end software life cycle process.
Experience in architecting, designing, constructing, testing, tuning, deploying, and supporting Data Integration solutions for various data management systems.
Current project includes designing, developing & optimizing Big Data batches on Hadoop Ecosystem including large datasets of structured, semi-structured and unstructured
Expertise in performing Data Mapping between source to Target systems, logical data modeling using class diagrams and ER diagrams and SQL queries to filter data.
Practical understanding of the Data Modeling (Dimensional & Relational) concepts like Star-Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables.
Unique ability to reconfigure factual information or data in ways that reveal trends, raise issues, identify opportunities, and offer solutions - STRENGTHS FINDER 2.0.
Enjoy working with people from diverse cultural backgrounds - fluent in English, French, and Somali. Hobby - dancing, traveling, meeting new people, and life-long learner.

TECHNICAL SKILLS:

SDLC Methodologies: Agile, V-Model and Waterfall

Databases: MS SQL Server, MySQL

Integration Tools: SQL Server Integration Services (SSIS), Talend Open Studio

Reporting Tools: SQL Server Reporting Services (SSRS), PowerBI

Development Tools: Hadoop/Spark, MapReduce, HDFS, Sqoop, Hive, Oozie, Ranger

Programming: SQL, Java (beginner), Shell Script

Software Testing: Quick Test Professional (QTP) and Quality Control

Microsoft Office Suite: Excel, Word, Outlook, Visio, Power Point Presentation

PROFESSIONAL EXPERIENCE:

Confidential, Dallas, TX

Big Data Engineer Fellowship

Responsibilities:

Awarded entry into a full-time, 14-week professional development program funded and developed by Confidential Technology Solutions as a pipeline into Big Data Engineer.
Hands-on project included architecting, developing and ingesting big data from structure and semi-structured datasets within organizations without disrupting daily operations.
By using Hadoop Ecosystem and the following technologies:
Java& JDBC, SQL, Hadoop/Spark, MapReduce, Data Transfer (Sqoop), Data Scheduling (Oozie), AWS RedShift, Hive, SDLC, Agile, and Shell Scripting (Unix/Linux)

Confidential, Louisville, KY

Data Analyst

Responsibilities:

Successfully provided accurate, relevant and meaningful ad hoc analysis to management to support strategic and tactical decision-making.
Involved in data discovery discussions with Stakeholders to map the business requirements to logical and physical modeling solutions using Data Modeling Process - Erwin Data Modeler.
Served as a liaison between the Database Administration department and development teams
Optimized SSRS dashboards with a focus on usability, performance, flexibility, testability, and standardization.
Tested dashboards to ensure data matches as per the business requirements and if there are any changes in underlying data, update the worksheets.

Confidential, Houston, TX

Data Analyst

Responsibilities:

Analyzed Different Data Sources like SQL Server and Flat files from which had information from multiple departments such as Finance, Supply Chain, and Human Resources.
Involved with data profiling for multiple sources and answered complex business questions by providing data to business users.
Worked with data investigation, discovery and mapping tools to scan every single data record from many sources.

Confidential, Houston, TX

Business Analyst

Responsibilities:

Gathered Business requirements by organizing and managing meetings with business stake holders, development teams and analysts on a scheduled basis.
Applied agile methodology with its various workflows, artifacts and activities to manage life cycle from inspection to transition phase.
Assisted team lead in developing Requirements Traceability Matrix (RTM) to trace the relationship between business and functional requirements to test cases.