Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Avinash, a Data Engineer and BI Developer with around 9 years of hands-on experience designing and delivering end-to-end analytics and data engineering solutions across healthcare, financial services, and blockchain domains. I build HIPAA-compliant and regulatory-ready data ecosystems that transform raw data into actionable insights. I architect and maintain large-scale ETL pipelines using Azure Data Factory, Databricks, Informatica, and AWS Glue, delivering reliable, scalable, and auditable data movements across claims, formulary, and blockchain datasets. I also develop analytics solutions using Python, SQL, and BI tools like Power BI, Tableau, and Looker Studio to deliver stakeholder-ready metrics, funnels, cohorts, and lifecycle KPIs. I emphasize data governance, lineage, and security, and I enjoy partnering with product, compliance, and data science teams to operationalize ML models for fraud detection, churn, and outcome forecasting, weaving predictive intelligence into routine dashboards and decision workflows.…I am Avinash, a Data Engineer and BI Developer with around 9 years of hands-on experience designing and delivering end-to-end analytics and data engineering solutions across healthcare, financial services, and blockchain domains. I build HIPAA-compliant and regulatory-ready data ecosystems that transform raw data into actionable insights. I architect and maintain large-scale ETL pipelines using Azure Data Factory, Databricks, Informatica, and AWS Glue, delivering reliable, scalable, and auditable data movements across claims, formulary, and blockchain datasets. I also develop analytics solutions using Python, SQL, and BI tools like Power BI, Tableau, and Looker Studio to deliver stakeholder-ready metrics, funnels, cohorts, and lifecycle KPIs. I emphasize data governance, lineage, and security, and I enjoy partnering with product, compliance, and data science teams to operationalize ML models for fraud detection, churn, and outcome forecasting, weaving predictive intelligence into routine dashboards and decision workflows.

Avinash P

Data Scientist, Data Analyst, Full Stack Developer, +2





I am Avinash, a Data Engineer and BI Developer with around 9 years of hands-on experience designing and delivering end-to-end analytics and data engineering solutions across healthcare, financial services, and blockchain domains. I build HIPAA-compliant and regulatory-ready data ecosystems that transform raw data into actionable insights. I architect and maintain large-scale ETL pipelines using Azure Data Factory, Databricks, Informatica, and AWS Glue, delivering reliable, scalable, and auditable data movements across claims, formulary, and blockchain datasets. I also develop analytics solutions using Python, SQL, and BI tools like Power BI, Tableau, and Looker Studio to deliver stakeholder-ready metrics, funnels, cohorts, and lifecycle KPIs. I emphasize data governance, lineage, and security, and I enjoy partnering with product, compliance, and data science teams to operationalize ML models for fraud detection, churn, and outcome forecasting, weaving predictive intelligence into routine dashboards and decision workflows.…I am Avinash, a Data Engineer and BI Developer with around 9 years of hands-on experience designing and delivering end-to-end analytics and data engineering solutions across healthcare, financial services, and blockchain domains. I build HIPAA-compliant and regulatory-ready data ecosystems that transform raw data into actionable insights. I architect and maintain large-scale ETL pipelines using Azure Data Factory, Databricks, Informatica, and AWS Glue, delivering reliable, scalable, and auditable data movements across claims, formulary, and blockchain datasets. I also develop analytics solutions using Python, SQL, and BI tools like Power BI, Tableau, and Looker Studio to deliver stakeholder-ready metrics, funnels, cohorts, and lifecycle KPIs. I emphasize data governance, lineage, and security, and I enjoy partnering with product, compliance, and data science teams to operationalize ML models for fraud detection, churn, and outcome forecasting, weaving predictive intelligence into routine dashboards and decision workflows.

Available to hire

I am Avinash, a Data Engineer and BI Developer with around 9 years of hands-on experience designing and delivering end-to-end analytics and data engineering solutions across healthcare, financial services, and blockchain domains. I build HIPAA-compliant and regulatory-ready data ecosystems that transform raw data into actionable insights. I architect and maintain large-scale ETL pipelines using Azure Data Factory, Databricks, Informatica, and AWS Glue, delivering reliable, scalable, and auditable data movements across claims, formulary, and blockchain datasets.
I also develop analytics solutions using Python, SQL, and BI tools like Power BI, Tableau, and Looker Studio to deliver stakeholder-ready metrics, funnels, cohorts, and lifecycle KPIs. I emphasize data governance, lineage, and security, and I enjoy partnering with product, compliance, and data science teams to operationalize ML models for fraud detection, churn, and outcome forecasting, weaving predictive intelligence into routine dashboards and decision workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Data Engineer at RockWallet

June 1, 2024 - Present

Architected a scalable data platform on AWS and Databricks to process blockchain transactions, fiat transfers, and user activity data for crypto wallet services. Built a multi-layer Snowflake data warehouse to integrate on-chain events with off-chain records, enabling unified analytics for liquidity management, regulatory reporting, and product insights. Led end-to-end data engineering initiatives with cross-functional teams, ensuring on-time releases and auditable data flows. Implemented SQL-driven reconciliation between on-chain and internal records, creating variance reports to support Compliance. Established automated data profiling and synthetic test data for validating schema changes, reducing production defects. Designed ELT processes landing raw blockchain and payment data into Snowflake/Delta Lake with in-warehouse transformations, cutting data latency and simplifying audits. Built customer lifecycle dashboards (activation, retention, churn) and funnel analytics for leadership

Senior Data Engineer / BI Lead at Nirvana Health

April 1, 2022 - April 1, 2024

Led the design and implementation of enterprise ETL pipelines using Azure Data Factory and Databricks to process pharmacy claims, eligibility, and formulary data across PBM systems for spend management and rebates reconciliation. Built a production Snowflake data warehouse with a star schema to support formulary optimization, drug utilization analytics, and member cost analysis, while maintaining HIPAA compliance and audit controls. Implemented data governance and automated QA checks; passed HIPAA and SOC-2 audits with zero findings. Deployed automated data quality validation using Great Expectations and Unity Catalog. Built executive dashboards in Power BI and Tableau tracking formulary compliance, adjudication efficiency, and member cost trends across Medicare Part D, commercial, and Medicaid populations. Implemented CDC-based incremental loading with Delta Lake, reducing ETL times while enabling near real-time operational reporting. Led migration validation comparing legacy Informat

Data Engineer / BI Developer at Truveta

January 1, 2021 - February 1, 2022

Developed HIPAA-compliant ETL pipelines using AWS Glue and Databricks to consolidate clinical operations data from EHRs, labs, and administrative systems for regulatory and operational reporting. Orchestrated Airflow-based workflows with SLA monitoring and retry logic; built reusable templates and validation checks to ensure data quality. Configured row-level security and RBAC in Power BI Service, protecting patient data and enabling appropriate access for clinical and administrative users. Designed operational dashboards for clinical workflows, patient throughput, and resource utilization, and collaborated with data science teams to integrate predictive analytics into dashboards.

BI Developer at Happiest Minds Technologies Pvt. Ltd

June 1, 2018 - July 1, 2019

Built ETL pipelines consolidating customer data from CRM, billing, and service logs to support marketing attribution and customer analytics. Created Power BI and Tableau dashboards for customer segmentation, churn analysis, and campaign performance. Implemented CDC-based incremental loading using Databricks Delta Lake to improve data freshness and reduce processing time. Established data governance with RLS, RBAC, dynamic data masking, and audit logging; led modernization efforts from Informatica to cloud-native platforms and built CI/CD pipelines and deployment frameworks.

Junior BI Analyst at Altimetrik India Pvt Ltd

June 1, 2015 - May 1, 2018

Supported development of Power BI dashboards for customer engagement, marketing attribution, and service performance. Assisted in ETL development with SQL queries and Excel-based data transformations; built reports and dashboards using Cognos and Power BI. Implemented row-level security and data validation checks; contributed to data migration initiatives from legacy systems to modern platforms.