As a Principal Software Engineer & Solutions Architect at Flipt, I play a key role in modernizing and scaling healthcare integration platforms used for Pharmacy Benefit Management (PBM). My work focuses on designing cloud-native, event-driven integration architectures that meet strict regulatory, performance, and reliability requirements while enabling faster onboarding and operational efficiency.

Key Contributions & Impact:

Led the redesign of legacy, batch-oriented and mainframe-style integration workflows into cloud-native, API-first, and event-driven architectures, improving scalability, resilience, and auditability across the platform.

Designed and implemented self-service onboarding frameworks for clients, plans, formularies, and pricing configurations, reducing dependency on developer-driven data loads during implementations.

Enabled a major reduction in go-live timelines by shifting from industry-standard onboarding cycles of 4–6 months to approximately 2–4 weeks through standardized integrations, validation pipelines, and configuration-driven workflows.

Defined integration standards and best practices adopted across teams, including service contracts, canonical data models, error-handling patterns, and performance benchmarks (p95/p99 latency targets).

Built and optimized high-throughput integration services supporting millions of transactions, ensuring deterministic processing, regulatory traceability, and consistent performance under peak load.

Partnered with product, implementation, and business teams to translate regulatory and operational requirements into scalable integration solutions aligned with healthcare compliance standards.

Acted as an architecture reviewer and technical mentor, guiding design decisions across teams and helping engineers adopt modern integration and observability practices.

Technologies:

AWS, Kubernetes, Docker, Python, FastAPI, REST, gRPC, Event-Driven Systems, Snowflake, Redshift, Airflow, CI/CD

As a Senior Solutions Architect at ACI Infotech, I led the design and delivery of cloud-based integration and data platforms for healthcare clients, with a strong focus on scalability, performance, and regulatory compliance. I worked closely with client stakeholders and engineering teams to modernize legacy integration models and establish reusable architectural patterns across projects.

Key Contributions & Impact:

Owned end-to-end architecture for healthcare integration platforms supporting enterprise-scale transaction volumes, ensuring high availability, predictable performance, and compliance with healthcare regulations.

Designed and introduced standardized microservices and integration patterns, including gRPC-based service communication and API-first contracts, improving efficiency and interoperability compared to traditional REST-only implementations.

Established reusable orchestration and data engineering frameworks using Airflow, significantly reducing development effort and improving consistency across multiple client implementations.

Led proof-of-concept initiatives for cloud-native and event-driven architectures that were later adopted into production systems, influencing broader architectural direction across teams.

Partnered with engineering, product, and business stakeholders to translate complex regulatory and operational requirements into scalable, maintainable technical solutions.

Improved operational visibility by implementing real-time dashboards and monitoring frameworks, enabling faster incident detection and improved SLA adherence across client platforms.

Mentored engineers and reviewed solution designs, helping teams adopt modern cloud and integration best practices while reducing long-term technical debt.

Technologies:

AWS, Kubernetes, Python, FastAPI, REST, gRPC, Snowflake, Redshift, Airflow, Tableau, CI/CD

As an Architect and Development Lead at LTI, I was responsible for designing and delivering cloud-based analytics and data integration platforms for FOX Networks. In this role, I served as the technical lead, owning architecture decisions and guiding implementation while working closely with client stakeholders.

Key Contributions & Impact:

Led the design and implementation of AWS-based analytics platforms supporting large-scale media data ingestion, processing, and reporting for enterprise business users.

Defined cloud architecture standards and authored infrastructure-as-code using Terraform, enabling repeatable, compliant, and automated deployments across environments.

Designed data ingestion and control mechanisms to detect failures, ensure data completeness, and maintain auditability across analytics pipelines.

Improved reliability and performance of reporting systems by introducing automated data quality checks and optimized transformation workflows.

Acted as the primary technical point of contact for the client, translating business and reporting requirements into scalable technical solutions.

Guided and reviewed development work across the team, ensuring adherence to architectural standards, security best practices, and delivery timelines.

Technologies:

AWS, Snowflake, EMR, Lambda, Airflow, Terraform, Python, SQL Server, Tableau

During my time in the United States, I led enterprise-scale cloud modernization and analytics initiatives for FOX Networks, operating with primary responsibility for architecture, delivery, and stakeholder coordination.

Key Contributions & Impact:

Led large-scale migration of enterprise analytics platforms from on-premise infrastructure to AWS, improving scalability, availability, and disaster recovery.

Designed secure cloud architectures, including VPC design, access controls, backup strategies, and high-availability patterns aligned with enterprise security standards.

Built and optimized data ingestion and analytics pipelines supporting both near real-time and batch processing use cases.

Introduced automated data validation, auditing, and failure-detection mechanisms, improving operational reliability and reporting accuracy.

Improved analytics performance through data modeling, indexing, and query optimization, resulting in faster reporting and reduced operational overhead.

Served as the primary technical liaison between client stakeholders and delivery teams, translating business requirements into scalable technical solutions.

Mentored engineers and enforced architecture and coding standards across distributed teams.

Technologies:

AWS, Snowflake, MemSQL, Python, Terraform, SQL Server

In this role based in India, I played a key part in building and scaling enterprise data platforms and analytics systems while gradually assuming increased architectural responsibility.

Key Contributions & Impact:

Designed and developed core components of enterprise data ingestion and analytics pipelines supporting large-scale reporting platforms.

Implemented automated data validation and auditing controls to ensure data completeness and integrity across ingestion workflows.

Developed and optimized database schemas, indexes, and queries to improve reporting performance and system stability.

Supported early cloud adoption initiatives by contributing to infrastructure design and automation for AWS-based deployments.

Collaborated closely with QA and business teams to align technical delivery with reporting and operational requirements.

Built utility frameworks and reusable components that reduced development effort and improved consistency across projects.

Technologies:

AWS, SQL Server, Python, PL/SQL, ETL Tools, Reporting Systems