Jagan Sivamani
ML Engineer
9+ years exp
9+ years ML exp
Python
SQL
Scala
TypeScript
Java
JavaScript
Bash
Invite to interview
Download CVCV
Overview
Technical skills
Timeline
Roles
Overview
Senior Data Engineer with 8+ years building and operating data infrastructure and ETL pipelines that support AI/ML engineering teams. Experienced in orchestration with Airflow and Prefect, data reliability practices using dbt testing and data-quality/observability, and AI/LLM workflow support including prompt/RAG pipelines. Works across AWS and GCP environments with strong SQL/Python engineering and CI/CD practices.
Phone
Technical skills
Languages
7
Python
SQL
Scala
TypeScript
Java
JavaScript
Bash
DevOps
8
AWS
GCP
Docker
Kubernetes
Git
CI/CD
Terraform
Jenkins
Databases
7
Cassandra
Snowflake
Google BigQuery
MySQL
Amazon Redshift
HBase
Pinecone
AI/ML
9
Airflow
MLFlow
Hadoop
Prefect
PyTorch
dbt
Scikit-learn
TensorFlow
RAG
Other
17
pySpark
PostgreSQL
LLM
AWS Lambda
Apache Kafka
Delta Lake
DynamoDB
Weaviate
Dagster
Flink
Databricks
Feast
Spark
Great Expectations
Prompt Engineering
HIPAA
Vector
Timeline
Senior Data Engineer (AI/ML Platform)
•
Senior
Bread Financial
•
Full-Time
Collaborated with Data Science, Product, and software engineering teams to build ETL pipelines powering user-facing AI/ML features. Developed internal frameworks for prompt-engineering and AI/LLM workflows, including RAG, embedding pipelines, and vector database integration. Maintained Airflow and Prefect orchestration, and improved platform reliability through observability and data-quality initiatives. Supported MLOps activities such as feature engineering, deployment, and batch/real-time scoring while applying CI/CD, Git workflows, and dbt testing practices.
Python
SQL
Airflow
Prefect
dbt
AWS
Terraform
Git
CI/CD
Docker
Kubernetes
RAG
Pinecone
MLFlow
Data Engineer
•
Middle
Cleveland Clinic
•
Full-Time
Built ETL pipelines with data scientists and engineers to support analytics features and platform automation. Developed data infrastructure and tooling for ML model development and iteration, including feature engineering and embedding pipelines. Implemented observability and data-quality initiatives and added dbt testing/validation for reliable data products. Ensured HIPAA compliance for sensitive datasets while supporting AI/ML workflows with scikit-learn, TensorFlow, PyTorch, and MLflow.
Python
SQL
Airflow
Prefect
dbt
AWS
Terraform
Scikit-learn
TensorFlow
PyTorch
MLFlow
Git
CI/CD
Data Engineer
•
Middle
Repco Bank
•
Full-Time
Designed and maintained scalable ETL pipelines for high-volume financial and risk datasets using Airflow and Prefect. Built internal frameworks supporting analytics and ML use cases, including feature engineering and model training/scoring support. Strengthened reliability with data-quality and observability improvements, including dbt testing strategies. Provisioned and managed cloud-based data services and worked with relational and NoSQL systems while applying CI/CD and Git-based engineering practices.
Python
SQL
Airflow
Prefect
dbt
GCP
AWS
Terraform
MLFlow
Git
CI/CD
Docker
Kubernetes
MySQL
Cassandra
Data Engineer
•
Middle
Siemens
•
Full-Time
Built scalable ETL pipelines for analytics and reporting using Airflow and Python, and created supporting data infrastructure. Implemented data-quality and monitoring initiatives to improve reliability and supported early ML/analytics workflows with enriched datasets. Performed large-scale processing optimizations using Hadoop ecosystem tools and managed multiple relational and NoSQL platforms. Automated deployments with Docker and Jenkins, and applied CI/CD and Git-based testing and documentation practices.
Airflow
Python
SQL
pySpark
Hadoop
Snowflake
Google BigQuery
Amazon Redshift
Git
CI/CD
Jenkins
Docker
HBase
Cassandra
Wright State University
Master's Degree •
Aerospace Systems Engineering