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Programmer Analyst Resume

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SUMMARY

  • 13 years of experience in Development in Data warehousing using informatica power center, Informatica IDQ, Oracle and Teradata and Big data technologies Hadoop and Hive.
  • Currently working as a Tech Lead.
  • Has good amount of experience in Coding on Informatica, IBM DataStage, Oracle PL/SQL and Teradata, batch scripting and unix shell scripting.
  • Strong skills in Data Analysis, Data Requirement Analysis, Data gaps, root cause analysis and Data Mapping for ETL processes
  • In - depth knowledge in the Teradata cost-based query optimizer, identifying potential bottle necks with queries from the aspects of query writing, skewed redistributions, join order, optimizer statistics, physical design considerations (PI/USI/NUSI/JI etc.) etc.
  • Experienced in working with design and architecting projects for Data warehouse, executed complete re-design of architecture and stabilized the architecture.
  • Expertise in handling complex requirements, build design and develop the ETLs for it
  • Experience in interacting with client directly for specific requirements to understand the requirement exactly and providing solution with first time right approach
  • Good skill in identifying root cause for issues in production and quickly provide fixes
  • Good working and practical knowledge in all aspects of SDLC like requirement analysis, design, development, testing, implementation and maintenance of Projects.
  • Exposure with Teradata, Hive and Oracle
  • Possess excellent Communication, Interpersonal & Analytical skills. Abilities in working in strict deadlines and diverse conditions.

TECHNICAL SKILLS

Databases: Oracle 10g,TeraData, Hive

ETL: Data Ware Housing Concepts, Informatica Power Center, Informatica Developer (BDE), IBM DataStage

Tools: Autosys, PVCS, Dollar Universe, Kintana, TES, Artifactory

Scripting: Shell scripting

PROFESSIONAL EXPERIENCE

Confidential

Programmer Analyst

Responsibilities:

  • Work with the Product Owners, Business Analysts and client areas to prepare functional specification during the project requirements stage.
  • Design, development and unit testing of mappings using informatica Power Center and IDQ for the requirements.
  • Creation of stored procedures for complex design like handling temporal and bi temporal table in Teradata.
  • Design and develop integrated solutions for complex requirements like handling multiple source windows, member and group address from Facets.
  • Automation of PBM loads by designing adjustment process for the existing manual adjustment process and handling the file loads validation through automated audit.
  • Design and development of archive and purge mechanism for incremental data tables for easier trouble shooting with flexible retention period of data at each table level.
  • Performance tuning of long running queries through redesign.
  • Automation of DB objects deployment process using batch script.

Confidential

Tech Lead

Responsibilities:

  • Brainstorming for the new design and architecture to be used for the jobs.
  • Building mappings and workflows using the current logic in powercenter ETLs.
  • Proactively identify the limitations and build workarounds to overcome the limitations and mitigate the risks.

Confidential

Tech Lead

Responsibilities:

  • Redesigning of the architecture which had bugs and needed stabilization
  • Proactive identification of risks with architecture provided and fixing them
  • Mentoring onsite and offshore team and training them in Informatica tool and new architecture KT sessions to multiple teams
  • Meeting timelines inspite of tight timelines and redesign implementation within time which was not planned as part of project.

Confidential

Tech Lead

Responsibilities:

  • Developed mapping, workflows and logic building for metrics
  • Handled ADT and DLP end to end coordinating with business directly
  • Reduced load and development time for replic creation.

Confidential

Technology Analyst

Responsibilities:

  • Creation of mappings, workflows as per the requirement.
  • Analysis of legacy data sources and converting them to ETL structure.
  • Creation of PL/SQL objects and building reports.
  • Fixing issues in mapping and workflows.
  • Performance tuning of ETL.
  • Creation of Autosys jobs.

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