Ubaydur Rahman Siddiqi
Data Engineering and Governance Assoc Manager @Accenture
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WORK HISTORY
Data Engineering and Governance Assoc Manager @Accenture
Bengaluru, IN
EDUCATION
Infant Jesus Joyland School, Mangalore
SSLC , Karnataka State Board
N M A M Institute of Technology, NITTE
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering
St. Aloysius (Deemed to be University)
Pre University, Physics, Chemistry, Computer Science, Mathematics, English, Hindi
SKILLS
ABOUT UBAYDUR RAHMAN SIDDIQI
Experienced data professional with 12 years of expertise in Data Architecture, Data engineering and Governance. As a data professional, my role encompasses various aspects of data management and optimization, with responsibilities including:Data Architect and Modeling- Developing logical and physical data models to represent the structure and relationships of data within the organization- Collaborating with business stakeholders to understand data requirements and translating them into data models- Ensuring data models support efficient querying and reporting.Data Engineering- Designing, constructing, and maintaining scalable data pipelines andarchitectures- Integrating data from various sources, ensuring seamless data flow across systems- Implementing ETL (Extract, Transform, Load) processes to transform raw data into usable formats.Data Profiling- Conducting detailed examinations of data sources to assess data quality, consistency, and completeness- Identifying and addressing data anomalies, inconsistencies, and potential quality issues- Creating and maintaining data quality reports and dashboards.Data Governance- Implementing and overseeing data governance frameworks to ensure data integrity, security, and compliance with regulations- Establishing and enforcing policies, procedures, and controls for data management and usage- Conducting data audits and ensuring adherence to data governance policies.General Responsibilities- Collaborating with cross-functional teams to support data-driven decision-making- Staying updated with industry trends and best practices in data management and governance- Providing training and support to other team members on data-related matters- Documenting data processes, models, and governance practices for transparency and knowledge sharing.SKILLS:Methodologies: Agile, Waterfall, JIRA, SNOW, Help Central.Data Engineering: ETL, data pipelines, real-time processing.Data Profiling: Data quality assessment, Root cause analysisData Modelling: Power Designer.Data Governance: Collibra, Compliance, Data Stewardship.Data Visualization: Tableau, SAP Business Objects.Programming Languages: Python, SQL, Unix Shell ScriptingDatabase: Teradata, Oracle, AWS RedshiftWorkflow Orchestration: Auto-sys, Airflow.Version Control Tools: GIT.ETL Tools: Informatica, Apple\'s KEYSTONE Framework. Merck DIFW.Cloud Platforms: AWSSoft Skills: Leadership, Client Collaboration, Problem Solving.
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