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Senior data and semantic engineering professional with 12+ years of experience designing governed ontologies and enterprise knowledge graph architectures across healthcare, life sciences, financial services, and retail. Led ontology development, semantic modeling, taxonomy/schema design, validation, and reasoning-driven retrieval to support advanced data integration. Expert in RDF/OWL/SPARQL/SHACL and knowledge-graph platform evaluation, with hands-on delivery of end-to-end ingestion pipelines, entity resolution, and SPARQL performance optimization in AWS/Azure/Snowflake/Databricks ecosystems. Strong cross-functional collaboration with clinical, regulatory, quality, and engineering stakeholders to translate business questions into reusable semantic models and constraints.…Senior data and semantic engineering professional with 12+ years of experience designing governed ontologies and enterprise knowledge graph architectures across healthcare, life sciences, financial services, and retail. Led ontology development, semantic modeling, taxonomy/schema design, validation, and reasoning-driven retrieval to support advanced data integration. Expert in RDF/OWL/SPARQL/SHACL and knowledge-graph platform evaluation, with hands-on delivery of end-to-end ingestion pipelines, entity resolution, and SPARQL performance optimization in AWS/Azure/Snowflake/Databricks ecosystems. Strong cross-functional collaboration with clinical, regulatory, quality, and engineering stakeholders to translate business questions into reusable semantic models and constraints.

Sai Deepa

Data Engineer, Data Scientist, Data Analyst, +4

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Senior data and semantic engineering professional with 12+ years of experience designing governed ontologies and enterprise knowledge graph architectures across healthcare, life sciences, financial services, and retail. Led ontology development, semantic modeling, taxonomy/schema design, validation, and reasoning-driven retrieval to support advanced data integration. Expert in RDF/OWL/SPARQL/SHACL and knowledge-graph platform evaluation, with hands-on delivery of end-to-end ingestion pipelines, entity resolution, and SPARQL performance optimization in AWS/Azure/Snowflake/Databricks ecosystems. Strong cross-functional collaboration with clinical, regulatory, quality, and engineering stakeholders to translate business questions into reusable semantic models and constraints.…Senior data and semantic engineering professional with 12+ years of experience designing governed ontologies and enterprise knowledge graph architectures across healthcare, life sciences, financial services, and retail. Led ontology development, semantic modeling, taxonomy/schema design, validation, and reasoning-driven retrieval to support advanced data integration. Expert in RDF/OWL/SPARQL/SHACL and knowledge-graph platform evaluation, with hands-on delivery of end-to-end ingestion pipelines, entity resolution, and SPARQL performance optimization in AWS/Azure/Snowflake/Databricks ecosystems. Strong cross-functional collaboration with clinical, regulatory, quality, and engineering stakeholders to translate business questions into reusable semantic models and constraints.

Available to hire

Senior data and semantic engineering professional with 12+ years of experience designing governed ontologies and enterprise knowledge graph architectures across healthcare, life sciences, financial services, and retail. Led ontology development, semantic modeling, taxonomy/schema design, validation, and reasoning-driven retrieval to support advanced data integration.

Expert in RDF/OWL/SPARQL/SHACL and knowledge-graph platform evaluation, with hands-on delivery of end-to-end ingestion pipelines, entity resolution, and SPARQL performance optimization in AWS/Azure/Snowflake/Databricks ecosystems. Strong cross-functional collaboration with clinical, regulatory, quality, and engineering stakeholders to translate business questions into reusable semantic models and constraints.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Language

English

Advanced

Work Experience

Sr. Data Engineer — Data & Analytics at Johnson & Johnson (J&J)

August 1, 2024 - Present

Led the design of an ontology-driven knowledge platform connecting clinical research, laboratory, treatments, product quality, manufacturing, and medical-device information using reusable Knowledge Graphs and governed semantic data models. Conducted ontology-discovery workshops and translated domain terminology into defined entities, relationships, attributes, business rules, and reusable conceptual definitions. Developed ontology development and semantic modeling standards (classes/properties, inheritance, cardinalities, hierarchies, constraints, axioms) and modeled studies, subjects, investigators, labs, treatments, adverse events, products/devices, manufacturing lots, quality events, and regulatory documents using RDF/RDFS/OWL/SKOS and semantic web technologies. Implemented a Timbr.ai proof of concept over Snowflake/PostgreSQL with SQL-based ontology concepts and virtual knowledge-graph views, enabling SPARQL/semantic traversal across cross-domain concepts. Built SHACL validation ru

Sr. Data Engineer — Data & Analytics at Elevance Health

March 1, 2020 - July 1, 2024

Designed an enterprise healthcare semantic model connecting claims, members, providers, eligibility, EHR/medical records, pharmacy, laboratory, diagnosis/procedure, care management, and population health across Azure analytics platforms. Partnered with clinical/provider-network/claims/pharmacy/actuarial/compliance teams to define governed entities, relationships, attributes, hierarchies, and reusable semantic rules. Developed Knowledge Graphs for member care journeys by modeling relationships among members, plans, providers, facilities, encounters, claims, diagnoses, procedures, medications, labs, authorizations, and interventions. Applied RDF/OWL/SPARQL/SKOS/SHACL for terminology modeling, controlled vocabularies, and semantic validation; standardized FHIR/HL7/X12 EDI and healthcare codes (ICD-10/CPT/SNOMED CT/LOINC/RxNorm) into canonical concepts. Built conceptual/logical/physical/dimensional and graph-oriented models for 200M+ claims and clinical records using Azure Databricks and S

Sr. Data Engineer — Data & Analytics at Fidelity Investments

October 1, 2018 - February 1, 2020

Worked with portfolio management, risk, fraud, and compliance teams to define financial KPIs and reporting builds. Analyzed trading activity, transactions, customer accounts, holdings, market prices, and risk exposure across AWS, Snowflake, and PostgreSQL sources. Developed SQL/Python solutions to cleanse, aggregate, reconcile, and analyze high-volume transaction and portfolio data for performance monitoring, fraud detection, and regulatory reporting. Built Tableau dashboards for returns, volumes, exposure concentration, risk indicators, fraud alerts, and reconciliation exceptions. Designed dimensional models and data marts (account, customer, security, portfolio, transaction, market price) to support historical and point-in-time analysis. Built reconciliation frameworks across counts and balances between sources/warehouse/dashboards; investigated anomalies like missing/duplicate records and out-of-balance conditions. Supported near-real-time analytics using Kafka and AWS Kinesis. Opti

Data Engineer — Data & Analytics at Van Heusen

May 1, 2016 - August 1, 2018

Partnered with merchandising, inventory planning, procurement, finance, and store operations to gather requirements and define retail KPIs. Analyzed sales, product, supplier, store, inventory, procurement, pricing, promotion, and warehouse data from ERP/CRM/point-of-sale and operational systems. Built SQL/SSIS/Azure Data Factory transformations to cleanse, standardize, deduplicate, and integrate retail data into centralized analytical layers. Designed retail data marts and dimensional models for sales/inventory/procurement/shipment/replenishment with product/store/supplier/promotion/calendar dimensions. Created Power BI dashboards for category and regional performance, stock availability, inventory turnover and aging, and supplier efficiency. Defined KPIs such as gross/net sales, sales growth, sell-through/stock-out rates, supplier lead time, and forecast accuracy. Developed forecasting and seasonal models in R/SAS and delivered week-to-week analyses in Excel for supplier/category comp

Data Analyst at Flipkart

July 1, 2014 - April 1, 2016

Supported product, marketing, sales, category, and operations teams with transaction, clickstream, inventory, campaign, and customer data analysis. Gathered reporting requirements and delivered recurring and ad hoc analyses. Developed SQL and Hive queries for extraction/cleansing/analysis using joins, subqueries, CASE, aggregations, views, and stored procedures; processed high-volume web activity in Hadoop/HDFS/Hive covering impressions, searches, views, cart additions, checkout, and purchases. Built datasets and Tableau dashboards for order volumes, revenue trends, engagement, conversion, and category results. Defined e-commerce KPIs including conversion rate, AOV, cart abandonment, repeat purchase, and retention; performed funnel and cohort/retention/segmentation analysis. Combined SQL extracts with R/SAS for statistical work and produced variance reports in Excel. Supported A/B test analysis by validating control vs treatment groups and evaluating statistical significance. Reduced r