Sarang Panchawadkar

Oversaw end-to-end architecture for data and AI/ML use cases as a Solution and Data Platform Architect.

Responsibilities:

• Defining data strategy and designing data architecture.
• Architecting, designing, and implementing a data lake and data warehouse.
• Designing and implementing ETL and ELT pipelines.
• Cloud migration strategy: plan and execute the migration from the legacy Cloudera platform and mainframe to GCP.
• Cost and performance optimization: committed use discounts and slot commitments for BigQuery.
• Responsible for the Data Platform: GCP service selection, data security, governance, cost estimation for new requirements, and infrastructure capacity planning and provisioning.

Technologies:

GCP Services - Cloud Composer, BigQuery, Dataflow, Cloud SQL, Cloud Storage, Vertex AI, AutoML, Cloud Build, Pub/Sub, Cloud Function.

Other services: Databricks, Confluent Kafka.

Architected and designed GCP-native solutions for new analytical, data science exploration requirements. Also, migrating existing workloads from on-premises to GCP.

Responsibilities

• Conduct systems design, feasibility studies, and cost studies, and recommend cost-effective cloud solutions.
• Design and plan cloud solution architecture.
• Design for security and compliance.
• Analyze and optimize technical and business processes.
• Ensure solution and operations reliability.
• BigQuery cost tracking and implementing cost control practices.
• Data virtualization tools evaluation and implementation.

Technologies:

GCP Services - Cloud Composer, BigQuery, Dataflow, Cloud SQL, GKE, Cloud Storage, DLP (Data Loss Prevention), Compute Engine, Dataproc.

Automate the process for new business intake. Mail monitoring component monitors and extracts Outlook emails, processes them using GCP Natural Language Processing, and automates the process flow using JBPM.

Responsibilities:

• Identifying the technology stack to meet the customer requirements.
• Designing microservices, APIs, and their integration.
• Designing the JBPM process flows.
• Creating a CI/CD pipeline for REST services using Concourse to deploy Java, Node, and jBPM applications.
• Application database design.
• GKE deployment configuration for all services.
• Design and implementation of a mail monitoring service using the Spring Integration API.
• Design and implement Pub/Sub integration, tuning the NLP model for sentiment analysis.
• Tuning the NLP model for sentiment analysis.

Technologies: GCP Services - Cloud SQL, GKE, Pub/Sub, AutoML; Spring Boot; JBPM; Concourse.

Pharmacy claim adjudication systems process claims from 20 or more different carriers.

Responsibilities

• Modernize the legacy monolith application to a microservice-based architecture.
• Design 30+ REST microservices for the middle and business layers.
• Implementing business logic with the rule engine FICO Blaze Advisor and IBM ODM.
• Developing Spring-based microservices with Rule services and JPA Data services, building Docker images, and deploying to a Kubernetes cluster, as well as creating the CI/CD pipeline for all the services.

Technologies:

• Red Hat OpenShift.
• Kubernetes, Docker.
• Java 8, Spring Boot
• FICO Blaze Advisor
• Jenkins