Data Engineer Resume Los Angeles, CA - Hire IT People

PROFESSIONAL SUMMARY:

Over 8 years of professional IT experience with strong emphasis in development and testing of software applications
Over 3 years of comprehensive experience in Big Data, Hadoop Ecosystem
Hands on experience with Big Data technology stacks using HDFS, Hive, Hbase, Flume, Kafka, Mapreduce, Oozie, Sqoop, Spark, Tez
Proficient in analyzing, designing, developing and translating business requirements to technical requirements and good understanding of product development
Deep experience in Data Warehousing to deliver Hybrid Data Engineering Architecture using MPP and Hadoop
Broad set of technology skills with hands - on experience in wide variety of high volume systems to Terabyte class EDW and analytical systems
Hands on with setting up and creating Data Visualizations using Tableau
Adept in working with technical and non technical audience
Excellent communication and documentation skills

TECHNICAL SKILLS:

Big Data: Hive, Sqoop, Flume, Kafka, Oozie, Tableau, Spark

Tools:, Mercury Tools, SQL Server Management Studio, Oracle SQL Developer, Quality Center, ALM, McKesson ClaimsXten & Clear Claims Connection, Amisys Advance, Facets

Operating System: MVS, UNIX, Windows XP/7

Scripting Languages: Python, Shell Scripting

Databases: SQL Server 2008 R2, Oracle 10/11g

PROFESSIONAL EXPERIENCE:

Confidential, Los Angeles, CA

Data Engineer

Responsibilities:

Built critical data sets in hybrid data hub(Hadoop and Netezza EDW) for analytics and BI needs serving all of Confidential 's business units
Managed complex projects and initiatives that significantly impact business results and require high degree of cross functional participation and coordination
Instrumental in integrating Hadoop with Enterprise Data Warehouse, thereby saving 40% space in Netezza
Extensive use of Sqoop and Hive Data Warehouse environment for ETL and ELT
Assisted BI team with MicroStratergy setup using Hive for data analytics
Worked with cross functional teams such as Data Science and Machine Learning on various data ingestion needs
Created and automated data ingestion pipelines using Oozie and Shell
Created Hive tables using multiple storage formats and compression techniques
Used Hive to analyze partitioned and bucketed data and compute various metrics for reporting
Used Oozie to build streaming workflows that listen to various Kafka topics, transform the data using Hive before loading into HDFS
Involved in collecting and aggregating log data using Flume and staging it in HDFS for analysis
Created multiple data pipelines that could handle 1TB of data
Worked on various Python data structures including list, dictionaries
Built data visualization dashboards using Tableau for real time monitoring and data analysis

Environment: Hadoop, HDFS, Informatica Power Center, Oracle, Hive, Sqoop, Flume, Kafka, Netezza Striper, Tableau, Agile, Jira, GitHub

Confidential, Quincy, MA

QA Analyst

Responsibilities:

Created test data to enter the medical authorizations in Acuity for various lines of business
Validated creation of claims, members, providers, claims re-pricing, adjudication, provider contracts, networks, reimbursement arrangements and member data in Amisys Advance
Verified back-end processing of the claims between Amisys Advance and McKesson Total Payment Integration system audit tool
Validated the editing logic for physician coding in McKesson's Clear Claim Connection
Validated the Recommendation, Savings and Clear Claim Connection reports in McKesson’s ClaimsXten and paid feed sent to the ClaimsXten history database

Environment: Amisys 6.4.2, HP ALM, ClaimsXten 5.1, Clear Claim Connection, Acuity Advanced Care, Oracle 11g, Microsoft Office

Confidential, Durham, NC

QA Analyst

Responsibilities:

Validated the Mobius reports(hipaa audit, ED101E), mainframe files for mapping and mainframe tables for modifiers and hold codes
Keyed claims in FEPdirect (y-price and n-price) and resolved the deferrals and adjusted claims
Validated the claims in PMHS and the claim response from DC (dfload)
Validated the claims posting cycle after the claim response was sent to PMHS
Verified the adjustments on the claims side and finance side of PMHS and the Mobius error reports for all the adjustments

Environment: PMHS7.2, HP Quality Center 10.0, Ultra Edit, Oracle 10g, Microsoft Office

Confidential, Minneapolis, MN

QA Analyst

Responsibilities:

Primarily responsible for developing and maintaining test plans and cases for the UHG's highly visible Member EOB Migration system
Responsibilities also included providing requirements analysis for the Coordination of Benefits, Primary Claim Calculation and 835 Bundling projects
Extensively worked on EDI Transactions 270, 271, 276, 277, 834, 835, 837
Tested HIPAA Claims processing through the Clearing house
Extensively worked on the Provider and Member Explanation of Benefits Migration

Environment: MS Visual Studio 2010, HP Quality Center 10.0, Oracle 9.6.1.1,Ultra Edit, Microsoft Office

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Data Engineer Resume

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