Shashwot M.
Highly motivated and results-driven Data Engineer with 6 years of hands-on experience in US Healthcare and Retail Data Warehousing. Currently pursuing a Master’s degree in Health Informatics, with proven expertise across a wide range of data platforms and programming languages. Recognized for leading high-performing teams, fostering collaboration, and delivering scalable, data-driven solutions that align with strategic business goals. Adept at navigating complex data environments, optimizing ETL pipelines, and ensuring data accuracy and integrity across large-scale systems. Quick to adapt to new technologies with a continuous focus on efficiency and innovation.
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Designed and optimized scalable data pipelines for seamless integration within the Business Intelligence (BI) services.
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Productised data platform services into reusable and repeatable solutions, enhancing scalability and efficiency.
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Leveraged MS Fabric, PySpark, and Azure technologies to build robust data ingestion and transformation workflows.
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Collaborated in an Agile environment, contributing to sprint planning, delivery, and continuous improvement.
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Enhanced overall data architecture, ensuring reliability, performance, and maintainability of the BI platform.
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Led, trained, and mentored both on-shore and off-shore teams through structured knowledge transfer and skill-sharing sessions.
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Served as the primary point of contact and subject matter expert for US Healthcare products in client-vendor collaborations.
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Acted as a vendor representative in cross-functional teams, facilitating effective communication and alignment during product development and enhancement initiatives.
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Ensured seamless collaboration between stakeholders, resolving technical and functional gaps to drive project success.
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Developed and enhanced ETL pipelines for US Healthcare-based data products, ensuring high performance and compliance with industry standards.
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Contributed as a key member of a high-performing, cross-functional, and results-driven Agile team practicing SAFe (Scaled Agile Framework).
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Designed and implemented graph-based data models using Neo4j to efficiently represent complex relationships between entities.
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Developed Cypher queries for data retrieval, analytics, and reporting, optimizing performance for relationship-heavy datasets.
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Built and maintained graph databases for applications such as social networks, recommendation engines, and fraud detection systems.
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Integrated Neo4j with backend services to enable real-time data traversal and relationship-based queries.
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Planned, designed, and delivered scalable data-driven solutions tailored to complex client requirements.
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Collaborated with Solution Architects, Technical Product Owners, and Product Managers to gather requirements, define scope, and communicate effectively with the team.
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Delegated and assigned tasks to team members, reviewed deliverables, and ensured high-quality outputs and timely releases.
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Proactively communicated with cross-functional teams and stakeholders to ensure project alignment and clarity on deliverables.
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Developed and optimized ETL pipelines to support data integration and transformation for large-scale data warehousing systems.
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Ensured data quality and integrity through validation, testing, and continuous monitoring processes.
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Participated in sprint planning, reviews, and retrospectives as part of Agile/Scrum teams, contributing to continuous improvement.
- Contributed to the Data Modeling team focused on the development of a Data-as-a-Service (DaaS) product for retail clients.
- Designed and developed ETL processes for data integration and bug fixes, supporting client requirements and ensuring data accuracy.
- Spearheaded the design and implementation of a database anonymization framework to securely mask sensitive client data.
- Modeled and documented complex data structures using various data modeling tools to support product scalability and maintainability.
- Served as an Attunity Developer, responsible for creating and managing data replication tasks, as well as monitoring data lake availability and integrity.
- Acted as a Technical Consultant leading R&D efforts to explore advanced reporting possibilities using fuzzy string matching techniques.
- Worked as an XBRi Developer, developing and documenting reports, and performing testing and fixes on Oracle Data Integrator (ODI) batches that consume raw data.
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Assisted in the development of data replication tasks using Attunity, ensuring smooth data flow and availability in the data lake.
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Participated in research and development efforts on fuzzy string matching techniques to improve reporting and data accuracy.
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Contributed to the development and documentation of XBRi reports and supported testing and troubleshooting of ODI batch processes.
- Assisted in the design, development, and maintenance of ETL processes for data integration, and resolved client-reported bug