Satvika Thakur Email & Phone Number

Delhi, India

Noida, Uttar Pradesh, India

Data Conversion and Transformation:Lead efforts to convert and transform data from clients' existing systems into a format suitable for our products.Ensure data accuracy, quality, and integrity during the conversion process.Collaborate with clients to understand their data requirements and tailor conversion processes accordingly.Data Engineering Expertise:Utilize data engineering expertise to design, develop, and implement data pipelines and workflows.Ensure data is efficiently processed, stored, and made available for analysis and reporting.Optimize data engineering practices to enhance system performance and scalability.Client Onboarding:Oversee the client onboarding process, ensuring a smooth and efficient transition onto our products.Work closely with clients to gather their specific needs and requirements related to data integration.Customize data conversion and engineering solutions to meet the unique demands of each client and product.Project Management:Manage and coordinate cross-functional teams to execute data conversion projects.Set project timelines, milestones, and deliverables.Monitor progress and ensure projects are completed on schedule.Team Management:Build and lead a skilled team of data engineers and conversion specialists.Provide guidance, mentorship, and support to team members.Foster a collaborative and productive work environment.Client Relations and Feedback:Build and maintain strong client relationships throughout the onboarding process.Address client concerns and provide responsive support.Collect client feedback to continuously improve data conversion and engineering processes.Value Delivery:Strive to deliver tangible value to clients by ensuring data conversion and engineering solutions align with their business goals.Enhance data-driven decision-making for clients through effective data management.

Noida, Uttar Pradesh, India

Data Strategy and Product Enhancement:Understand and strategize changes in product and existing data streams to drive data-driven product enhancements.Identify opportunities to optimize data collection and utilization to meet evolving business needs.Cross-Functional Collaboration:Collaborate closely with different product teams to align data analysis efforts with client expectations and workflow requirements.Work in tandem with product development teams to ensure the delivery of results that align with client needs.Data Quality Improvement:Address data quality issues and enhance data management processes to ensure accurate and reliable Key Performance Indicators (KPIs).Implement data cleansing and validation techniques to maintain data integrity and reliability.Customer Requirement Management:Manage customer requirements by effectively balancing client expectations with the features and capabilities of the product.Prioritize and plan data-related deliveries to meet client needs and enhance the overall customer experience.Data Strategy Alignment:Continuously understand and strategize changes in both product and existing data streams to keep data analysis aligned with business goals.Evolve data analysis strategies to support the product's growth and adapt to changing market dynamics.Skills and Expertise:Demonstrate proficiency in data engineering, database management, data analytics, and predictive modeling.Apply these skills to extract actionable insights from data, drive data-driven decision-making, and support the product's success

Gurgaon, Haryana, India

Provide direction for a team of data analysts. They also build that team, making hiring decisions, and deciding where each analyst’s skills will prove most productive for the organization. Oversee the work of an analytics department, ensuring its accuracy.Standardized data models and data ingestion managementAddress data quality issues through data standardization and data governanceDefine & execute against Application roadmapsIdentify & move on Modernization & Decommission opportunities

Gurgaon, India

Big Data Preparation/Programming/Loading & Statistics: Developed a process to migrate historical SAS data sets to Hadoop. The main components will add attributes to the dataset from the dataset name to use for partitioning in Hadoop. Tables with the same layout should be added as one data table in Hadoop. Developed a predictive analytics model that can be scaled to any time period, source or processing bucket name and holds power to be expanded to many more parameters. The model is translated using powerful & dynamic logics to online reporting that can be accessed anywhere & anytime. The engagements resulted in streamlined processes leading to cost savings, process efficiency, better management control and improved operating efficiency. Platform-oriented support & Metadata management

Noida Area, India

1) Verification of business rules implementation on database by creating the negative SQLto identify mismatches in business requirement in our implemented database.2) Performed system analysis & created analysis documents for system development (ERP software system & US health care domain).3) Performed system configuration based on the client requirements.4) Performed data preparation. 5) Ensured the quality of data interfaces with client & vendors.

Gurgaon, India

Implementation of database according to the business rule or set of clientrequirements.1) Modifying the database as per the business requirement2) Creating the data mining tool for extracting the information which is sent to the client in HIPAA compliant format.

Pg-Aiml

Pg Program In Big Data Engineering, Big Data

Computer Science