Data Architect Resume
Plano, TX
PROFILE:
- 9+Years of total IT experience.
- 4+Years of Data Architecture and Data Governance Experience
- Proficient knowledge of Databases, Data Modeling and Data Integration Technologies
- Extensive Experience with Data Governance, Data Quality and Reporting
SUMMARY:
- Sound proficiency in analyzing and creating Conceptual, Logical Data models, Data & Business flow diagrams using MS Visio.
- Well experienced on Data Architecture, Data Life cycle, Data modeling, Business Intelligence, Data warehousing and Data Quality
- Expertise in ER modeling(OLTP) and dimension modeling(OLAP)
- Expertise on Distributed Data Integration Techniques using Kafka, Oracle Golden Gate etc
- Expertise in Data Integration using ODI, Informatica, Nifi, Flink, Spark etc
- Expertise in Data Quality Management and Stakeholder Management, Cutover Management and managing development teams in multiple geographic locations.
- Architecture Design and Implementation of Data Integration, Data Quality Framework and Reports.
- Reduced Cost of maintenance (50%) by introducing machine learning in Application Support Management
- Experience in Dimensional Modeling (Erwin), Star / Snowflake Schema, Fact / Dimension Tables, Business Process Analysis, Production support, Data cleansing, Data analysis and Performance tuning of sources, targets, mappings sessions and SQL’s.
- Excellent Working knowledge of Agile and Scrum methodologies.
- Highly skilled in structured planning methods for project evaluation including Gap Analysis, SWOT Analysis, Feasibility analysis and Risk analysis.
- Understanding of Compliance Standards like PCI DSS, PII, Encryption and Tokenization
- Experience on Requirement Gathering and analysis for Data warehouse, Data Quality and Reports
- Design, Implementation and performance tuning of ETL for Data warehouse and OLTP systems.
- Clear understanding of Relational Database concepts, Expertise on Oracle 10g, 11g, Exadata, SQL Server
- Well versed in source code management and automating code deployment.
- Experience in working on Agile Methodology. Conducts "Scrum" meetings, daily stand - ups, reviews and retrospectives. Responsible for keeping "Sprints" on track.
- Experienced with Informatica Power Exchange and Oracle Data Integrator for Loading / Retrieving data from mainframe systems and other Enterprise level Data for reduced and cost-effective bulk loading mechanism.
- ETL Repository Setup and performance monitoring and tuning.
- Self-motivated professional, keen interest working with new technologies and solving challenging business problem
TECHNICAL SKILLS:
Data Modeling, Data Architecture: Erwin 3.x/4.x, ER Studio, Logical Modeling, Physical Modeling, Relational Modeling, ER Diagrams, Dimensional Data Modeling, Star Schema, Snow-Flake, Fact and Dimensions Tables.
Data Integration: Oracle Data Integrator, Informatica, Apache KAFKA, Nifi, Flink, Spark
Databases: Oracle, SQL Server, GreenPlum, PostgreSQL, Big Data(HDFS), Graph Databases
Reporting: OBIEE, Tableau, Apache Superset
Scripting: SQL, Oracle PL/SQL, Unix Shell Scripting
Languages: Python, R, Scala
Machine learning: Batch Performance Prediction
Source Code Versioning: SVN, Git
Management: Cutover and Stakeholder Management, Delivery Management, Microsoft Project.
SDLC Methodologies: Waterfall, Agile Scrum/ Kanban
PROFESSIONAL EXPERIENCE:
Confidential, Plano, TX
Data Architect
Responsibilities:
- Design and Review of Data Flow Architecture, Defining data standards.
- Integration of real time data and Machine Learning to predict the batch performance.
- Implement Frame works for reporting operational KPIs.
- Produce systems architecture documents and diagrams.
- Define conceptual, Logical and Physical Model of Data, Data modeling
- Implementation of Data warehouse and Operational Data Store.
- Data Model, Design and Implementation of CUBEs for Reporting.
- Design and implement reusable ODI components
- Define Data Quality Standards and implement custom data quality framework.
- Setting up ODI repository, Define Security Roles and User settings
- Implementation of dimensions, Slowly Changing Dimensions, Fact and aggregates.
- BusinessRequirement gathering, Analysis, Data Profiling and Data Quality Management.
- Lead the development team of 20 members.
Environment: Data Architecture, Data Governance, Oracle Exadata, Real time data, Machine Learning, Data modeling, Oracle Data Integrator(ODI), Machine Learning, Python, Data warehouse, Team Management.
Confidential
Data Architect
Responsibilities:
- Drive data architecture teamto define data rules
- Profiling Financial data for anomalies
- Architecture Design and implementation of Data Quality framework
- Preparing Data Quality Dashboards
- Led development team
- Performed extraction, transformation and loading of data from Mainframe tables, Flat Files, SQLinto Oraclein accordance with requirements and specifications.
- Understanding business needs and implement the same into a functional database design.
- Managed the Cutover and Change Management.
- Report Data Quality and Project Summary to top level management.
- Performance tuning of ETL code and implementingmultithreading and parallel processing for ETL jobs.
Environment: Data Architecture, Data Governance, Data Quality,Oracle Data Integrator, Informatica, Oracle, Oracle Store Inventory Management, Unix.
Confidential
Data Quality Architect
Responsibilities:
- Analyze JD Edwards systems for Identifying Data Entities and Data Rules.
- Architecture Setup for Data Quality Environment
- Interact with Business Stake holders to identify and formulate data quality rules
- Design and implementation of Data Loading and Reporting Package
- Development of Data Quality Rules and Configuring Data Quality Repository.
- Reporting Project and Data Quality status to Top Level Management
- Lead the pilot team to implementation with2 developers
Environment: Data Governance, Data Architecture, MS SQL Server, SSIS, SAP Information Steward, Team Management, Infrastructure Setup, Database Administration.
Confidential
Data Integration Lead
Responsibilities:
- Working in Data Architecture team for systems integration design.
- Prepare Architecture and detailed Design forData Quality Framework.
- Preparing Functional and Technical Design for Data Integration.
- Lead the Oracle Retail Data Implementation Team.
- Responsible for performance tuning of the ETL process and upgrading the ETL best practices document.
- Effectively worked with tuning SQL queries and Procedures to improve the performance of the jobs.
- Analyzed, Designed and Implemented the ETL architecture.
- Worked with OWB and ODI ETL and Data Integration tools to Pre-built modules for CDC, bulk loading etc.
- Identifying and monitoring critical data issues on Prices, Promotions and financial values.
- Designed and builtCode deployment and migration framework using Unix Shell scripting SVN and SQL/ PLSQL
- Created and Configured Dimensions, Attributes and Hierarchies.
- Developed and tested all the backend programs, Error Handling Strategies and update processes.
- Created mappings using the transformations like Source Qualifier, Aggregator, Expression, Look Up, Router, Filter, Update Strategy, Joiner, Sequence Generators and Stored Procedure
- Prepare DQ Dashboard with Tableau, Report data alignment issues to stakeholders in Top Level Management and tracking it down to closure.
Environment: Oracle, Oracle Retail Merchandising system, OWB, ODI, Informatica, Data Quality,Tableau, Unix System Integration, Financial Data Profiling and Reporting.
Confidential
Data Modeler
Responsibilities:
- Create Data model for the OLTP application.
- Migrating foundation Data using Stored Procedures and SQL.
- Defining rules for standardizing the business data
- Define process to ensure the data quality and implement validation framework
- Work to front end developers optimize data retrieval performance by tuning SQL
- Report customer usage patterns from the Log files.
Environment: Data Modeling, Data Migration, OLTP application, SQL tuning, Oracle, MySql, data quality.
