Jagan Sivamani
ML Engineer
9+ years exp
9+ years ML exp
Bash
TypeScript
Java
JavaScript
Python
SQL
Scala
Active 14 days ago
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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.
Technical skills
Bash
TypeScript
Java
JavaScript
Python• Senior • 9y+
SQL• Senior • 9y+
Scala• Middle • 6y+
Python
pySpark• 9y+
Databases
Apache Kafka
Databricks
Delta Lake
DynamoDB
PostgreSQL
Weaviate
Amazon Redshift• 9y+
Cassandra• 9y+
Google BigQuery• 9y+
HBase• 9y+
Snowflake• 9y+
MySQL• 6y+
Pinecone
AI/ML
Dagster
Feast
Flink
Great Expectations
LLM
Prompt Engineering
Spark
Airflow• 9y+
Hadoop• 9y+
dbt• 6y+
MLFlow• 6y+
Prefect• 6y+
PyTorch
Scikit-learn
TensorFlow
RAG
DevOps
AWS Lambda
Vector
CI/CD• 9y+
Docker• 9y+
Git• 9y+
Jenkins• 9y+
AWS• 6y+
GCP• 6y+
Kubernetes• 6y+
Terraform• 6y+
Cybersecurity
HIPAA
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
Prefectsince 2020
dbtsince 2020
GCP
AWSsince 2020
Terraformsince 2020
MLFlowsince 2020
Git
CI/CD
Docker
Kubernetessince 2020
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.
Airflowsince 2017
Pythonsince 2017
SQLsince 2017
pySpark
Hadoop
Snowflake
Google BigQuery
Amazon Redshift
Gitsince 2017
CI/CDsince 2017
Jenkins
Dockersince 2017
HBase
Cassandrasince 2017
Wright State University
Master's Degree •
Aerospace Systems Engineering