Technology- ADF, data bricks,data lake, power BI, automation, Azure AD, Azure monitor, Azure Analysis services, Synapse, Predictive analytics & machine learning
Area of Expertise:
Analytical and soft-spoken candidate with good knowledge of data and domain.
Depth knowledge of upstream system processes like ERPs, CRM, and Sales Operations including territory and quota management systems, pricing systems, contract management systems, master data management system
Process and Data profiling - focusing on Business Intelligence and Analytics.
E2E Architecture, Low-level solution Design, Data management and processing flow, Data modeling, Integration Techniques, Real-time data processing flow
Working closely with Architects and technical leads of other tracks to integrate technology and functionality
Conducting solution design reviews with Leads and accommodating feedback
Technical Depth:
Data warehousing and Business Intelligence
Enterprise data warehouse & ODS
Cloud Data Implementation- Azure
Data storage design- Dimensional, Relational, NoSQL
Worked in MPP database & architecture
Worked in secure architecture
Data Lake - ADLS, AWS Lake Formation
Cloud Data Warehouse - Azure Synapses ( Must have), Snowflake
Data Modelling - Normalised, Data Mart
Modelling (Star & snowflake schema),EDW & ODS
Working knowledge of ML/Predictive Model: - Linear regression, logistic model, Statistical Modelling: -Exploratory Analysis,
Data Integration - ETL Batch, Real-Time
Streaming and Data Services
Master Data Management, Reference Data Management
Hands-on experience/duties:
Techno/functional expertise in providing application process analysis, architecture and system design, systems development, testing, and deployments
Formulating deployment strategies to ensure reliability and scalability for the commercial Analytics platform.
Providing feedback and directions for technical design, prototypes/mock-ups, development, testing, and delivery of solutions for release cycles and/or new projects within Global data and analytics.
Assessing technological risks that could jeopardize the growth and/or operations of the organization; making recommendations on applications retirement.
Demonstrating expertise in a variety of systems development concepts, practices, and procedures.
Developing and building robust integration with Infrastructure, Security, Governance, Service Delivery, etc.
Ensuring clear communication between business stakeholders and IT technical teams.
Reviewing and Governing business process documents, application and technical specifications, test plans, and cutover plans for go-live sites.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Conv enience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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