Data Engineer |
Architecting robust data pipelines and deploying scalable MLOps frameworks to unlock data-driven insights.
About Me
As a Data Engineer based in the Bay Area and a recent Master's graduate in Computer Science, I am passionate about architecting scalable data ecosystems. At BubbleBook.ai, I'm leading the development of data-intensive features, from designing ETL/ELT pipelines with Spark and Airflow to deploying production-grade MLOps frameworks. My goal is to build solutions that transform raw data into actionable intelligence, backed by certifications from AWS and Azure.
Download RésuméSkills & Certifications
Technical Skills
Languages & Databases
Data Processing & ETL
MLOps & DevOps
Cloud
Certifications
AWS Certified Solutions Architect
Amazon Web Services
Microsoft Azure Developer Associate
Microsoft
Generative AI Learning Path
Google Cloud
Experience
Data Engineer
Bubblebook.ai | 2025 - Present
- Architected ETL/ELT pipelines with Spark & Airflow.
- Optimized RAG with Pinecone vector DB.
- Deployed MLOps framework on Kubernetes.
Data Engineer
Infosys Partner | 2022 - 2023
- Built AWS data platform for 15M+ daily transactions.
- Orchestrated SageMaker ML pipelines.
- Operationalized a real-time fraud detection model.
Cloud Data Engineer
IMARK Solution | 2020 - 2022
- Engineered S3 Data Lake to Snowflake warehouse.
- Built Delta Lake pipeline on Databricks.
- Automated cloud infra with Terraform.
Projects
Get In Touch
I'm always open to discussing new opportunities and collaborations. Feel free to reach out!
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