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Senior Oracle Database Consultant Resume

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NJ

PROFESSIONAL PROFILE:

  • Over 10+ years of experience working on different projects as Lead Database Engineer/Data Analytics Consultant/Data Architect.
  • More than 5+ years of working experience on Agile/Scrum Team. Certified SAFe 4.0 Practitioner (SP).
  • More than 10+ s on Database, Big data, Hadoop, Spark, Python, Data Science, Machine Learning and Visualization technologies combined (attached to LinkedIn profile).
  • Extensively worked on Database designing, Data mining, Data Analysis, Data Visualization, Database Driven Operations. Designed and developed analytical methods and tools.
  • Demonstrated ability to work both in independent and team - oriented environments with well-developed organizational skills and excellent interpersonal and communication skills, self-starter and a quick learner.
  • Responsible for designing and implementing processes and complex analysis engine for large-scale data set.
  • Delivered data driven insights to various stakeholders to help drive better business decisions.
  • Brought data to life through effective visualization and presentation, reporting/dashboarding.
  • Have written complex analytical engines using different programming languages.
  • Coordinated with cross-functional teams to devise, build and implement or integrate solutions that advance technology roadmaps and organizational strategies.
  • Designed database standards, performance tuning, SQL optimization, Logical and Physical Schema Design.
  • Have good experience in Normalization and De-normalization for databases in OLTP and OLAP environment, Big Data, Hadoop and AWS cloud services.
  • Strong experience working with offshore and geographically distributed teams.

COMPUTER SKILLS:

Big Data: Hadoop, HDFS, Yarn, MapReduce, HBase, Spark, Pig, Hive, Oozie, Flume, Sqoop, HUe.

RDBMS: Oracle 12c/11g/10g/9i, Teradata 13, Sybase, SQL Server 2008/2010/2012 , SQLite, MySQL

Languages: SQL, Python, PL/SQL programming, SQR, Unix shell Script (sh, bash, sed, awk), HTML, XML, SAS, JavaScript, Core Java, R.

Packages/tools: TOAD, SQL developer, ER/Studio Data Architect, ERwin, Oracle Data Miner, eclipse Toad for Data Analyst, PuTTy, JetBrains PyCharm, Crystal Reports, SQL*plus, Oracle Forms 10g, Tableau 6.0, SAS EG 4.2/4.3, TFS, R Studio, Rally, Tableau 10.0/10.2

Cloud: AWS, EC2, S3, AWS - RDS, EMR, Redshift

WORK EXPERIENCE:

Confidential, NJ

Senior Oracle Database Consultant

Responsibilities:

  • As a part of scrum team worked in Agile/Scaled Agile environment, worked extensively with different teams and performed duties of Data Analytics consultant/Lead Database Engineer/Architect on different projects.
  • As a part of CDL-DDO team built common data layer for many different midstream applications using Hadoop ecosystem and AWS cloud services.
  • Worked with team to have same data truth for whole organization, built dashboards and applications for different midstream operations.
  • Delivered data driven insights using reporting and dashboarding to various stakeholders to help drive better business decisions.
  • Developed complex analysis engines, pressure calculations formulas using different programing languages.
  • Did code automation which saved lots of man hours.
  • Phillips66 has 900 million data points for pipeline attributes, internal and external metal loss, dents, cracks etc.
  • My job was to design analytical engine, which can predict anomalies and their criticality based on different factors to avoid risk of leak or failure.
  • We have used linear regression model to check confidence level in vendor stated anomalies vs actual found anomalies.
  • As a part of PT-DMS team designed Logical and Physical data models for OLTP as well as OLAP systems using ER Visual Studio Data Architect tool. Did database Normalization and De-normalization as per the environment needs.
  • Designed system using Oracle database technologies which can be integrated with big data technologies like SAP HANA and Hadoop.
  • Designed Universal Loader application to load millions of rows from vendor tool run data using ETL process and integrated large-scale data. Built complex data validation system for vendor data with simple programming design which will validate the data before loading into system.
  • Created database standards for project and did code review, built data dictionary for support team.
  • Did SQL code tuning, Query Optimization, database performance tuning. Built database tables, integrity constraints, indexes, table partitioning, PL-SQL packages, store procedures and functions.

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