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

I'm Chandrika, a Senior AI/ML Data Engineer with 10+ years delivering end-to-end AI and data solutions across cloud and on-premises environments. I design scalable ETL/ELT pipelines and governance-enabled platforms that power decisions in Banking, Healthcare, Finance, and Retail. I thrive on turning complex data into reliable data products and collaborating across teams to drive measurable business impact. I enjoy building Generative AI solutions, orchestrating multi-agent workflows, and ensuring security and compliance throughout the SDLC. I'm passionate about transforming data into actionable insights, enabling proactive decision-making, and delivering repeatable, scalable data platforms for enterprise use cases.…I'm Chandrika, a Senior AI/ML Data Engineer with 10+ years delivering end-to-end AI and data solutions across cloud and on-premises environments. I design scalable ETL/ELT pipelines and governance-enabled platforms that power decisions in Banking, Healthcare, Finance, and Retail. I thrive on turning complex data into reliable data products and collaborating across teams to drive measurable business impact. I enjoy building Generative AI solutions, orchestrating multi-agent workflows, and ensuring security and compliance throughout the SDLC. I'm passionate about transforming data into actionable insights, enabling proactive decision-making, and delivering repeatable, scalable data platforms for enterprise use cases.

Chandrika

Data Scientist, AI Engineer, Cloud Developer, +2





I'm Chandrika, a Senior AI/ML Data Engineer with 10+ years delivering end-to-end AI and data solutions across cloud and on-premises environments. I design scalable ETL/ELT pipelines and governance-enabled platforms that power decisions in Banking, Healthcare, Finance, and Retail. I thrive on turning complex data into reliable data products and collaborating across teams to drive measurable business impact. I enjoy building Generative AI solutions, orchestrating multi-agent workflows, and ensuring security and compliance throughout the SDLC. I'm passionate about transforming data into actionable insights, enabling proactive decision-making, and delivering repeatable, scalable data platforms for enterprise use cases.…I'm Chandrika, a Senior AI/ML Data Engineer with 10+ years delivering end-to-end AI and data solutions across cloud and on-premises environments. I design scalable ETL/ELT pipelines and governance-enabled platforms that power decisions in Banking, Healthcare, Finance, and Retail. I thrive on turning complex data into reliable data products and collaborating across teams to drive measurable business impact. I enjoy building Generative AI solutions, orchestrating multi-agent workflows, and ensuring security and compliance throughout the SDLC. I'm passionate about transforming data into actionable insights, enabling proactive decision-making, and delivering repeatable, scalable data platforms for enterprise use cases.

Available to hire

I’m Chandrika, a Senior AI/ML Data Engineer with 10+ years delivering end-to-end AI and data solutions across cloud and on-premises environments. I design scalable ETL/ELT pipelines and governance-enabled platforms that power decisions in Banking, Healthcare, Finance, and Retail. I thrive on turning complex data into reliable data products and collaborating across teams to drive measurable business impact.

I enjoy building Generative AI solutions, orchestrating multi-agent workflows, and ensuring security and compliance throughout the SDLC. I’m passionate about transforming data into actionable insights, enabling proactive decision-making, and delivering repeatable, scalable data platforms for enterprise use cases.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Data Engineer at Walmart

March 1, 2025 - Present

Built scalable ML workflows and data pipelines on GCP using Airflow, Looper, and BigQuery; automated ETL/ELT, validation, and feature engineering across hybrid environments. Designed LLM evaluation dashboards with RAGAS and fine-tuned domain-specific models to enhance guest-facing AI assistants. Architected multi-agent Generative AI workflows and integrated vector databases for context-driven knowledge retrieval; implemented data governance and dynamic data masking in BigQuery; created near real-time streaming solutions using Pub/Sub, Dataflow, and BigQuery. Led LLMOps pipelines with MLflow and Airflow and authored deployment configurations to enable scalable, automated model retraining and delivery.

Senior AI/ML Data Engineer at Charter Communications

February 28, 2025 - October 24, 2025

Led Viewership AI/ML platform on AWS with end-to-end pipelines, NLP/RAG/chatbot solutions, and real-time decision support. Automated ML pipelines with Airflow and Docker; evaluated GenAI platforms for regulatory/localization readiness. Implemented Retrieval-Augmented Generation (RAG) pipelines using LangChain and FAISS; deployed chatbot ecosystems with Rasa and Dialogflow; built PySpark data processing on EMR; used Lambda for orchestration and DMS/Glue for data integration; provisioned access controls via Terraform.

Senior Data Engineer at Best Western

November 30, 2024 - October 24, 2025

Data Science and AI team lead building privacy-compliant data pipelines on GCP (Airflow, DataProc, Data Fusion, Dataflow, BigQuery). Created LLM evaluation dashboards (RAGAS) and fine-tuned hospitality FAQs. Integrated AI/ML capabilities with enterprise apps via APIs; orchestrated ETL/ELT with Cloud Composer; migrated petabytes of data from Oracle/MySQL to GCP. Collaborated with MLOps/DevOps to containerize ML services with Docker/Kubernetes and deployed scalable data processing pipelines.

Senior Cloud Data Engineer at VOYA Financial

December 31, 2024 - October 24, 2025

Led WealthCentral data solutions on Azure; orchestrated pipelines with Azure Data Factory, deployed ML models with Azure ML, and built embeddings/prompts for domain-specific LLMs. Implemented MLOps flows with Docker and Kubeflow, enabling end-to-end model development, training, and deployment. Ensured privacy/compliance (GDPR/CCPA) and collaborated with data scientists to deliver predictive analytics and AI capabilities for wealth management.

Cloud Data Engineer at Wells Fargo

December 31, 2023 - October 24, 2025

Deployed Generative AI solutions using Amazon Bedrock; built end-to-end AI/ML pipelines with Lambda, Step Functions, S3, RDS/Aurora, and DMS. Developed feature engineering, preprocessing, and model inference workflows in Python; orchestrated serverless inference for real-time AI applications; leveraged SageMaker for training, evaluation, and deployment; integrated Airflow with AWS for multi-stage workflows and data pipeline orchestration; supported on-prem to cloud migrations and governance; built Redshift data loads and Tableau dashboards.

Cloud Data Engineer at Deloitte

March 31, 2022 - October 24, 2025

Designed large-scale data solutions with Snowflake; integrated Pub/Sub and Cloud Storage for multi-source data into Snowflake with RBAC. Managed infrastructure as code (Terraform, CloudFormation) and implemented data visualization using Power BI. Guided metadata management for ETL operations and experience with Docker, Kubernetes, and cloud data orchestration.

Data Engineer at Bath and Body Works

August 31, 2021 - October 24, 2025

Led end-to-end data pipelines on Azure (Synapse Spark Pools); moved data from Cosmos DB to Synapse using Azure Functions; migrated legacy Teradata/EDW to Snowflake using Informatica Cloud; utilized Python, PySpark, and Spark-SQL for transformations; created visualizations in Tableau and integrated with Power BI; containerized workloads with Docker/Kubernetes and implemented monitoring.

Python/SQL Developer at Synergy Health Care

September 30, 2018 - October 24, 2025

Built ETL processes with AWS Glue to migrate data from S3, SQL Server, MongoDB, and SFTP to Redshift; applied Spark-based transformations; worked with NoSQL (CosmosDB); automated deployments with Code Pipeline to ECS; produced visual reports in Tableau, enabling faster API-driven analytics.