Akhil Bhimana
Data Scientist
6+ years exp
6+ years ML exp
Python
Bash
PowerShell
JavaScript
SQL
TypeScript
Active 14 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Data Engineer with 5+ years of experience building and optimizing scalable ETL/ELT data pipelines across Azure, AWS, and GCP. Focused on data governance and compliance for regulated domains, and on orchestration, performance, and observability to support reliable analytics delivery. Experience collaborating with stakeholders and delivering AI- and analytics-oriented data products using modern cloud data engineering practices.
Technical skills
Python
Bash
PowerShell
JavaScript
SQL• Middle • 4y+
TypeScript• Middle • 4y+
Databases
Apache Kafka
MySQL
PostgreSQL
Snowflake
MS SQL
Google BigQuery• 6y+
Amazon Redshift• 4y+
Azure SQL Database
Databricks
AI/ML
Airflow
Dagster
dbt
Spark
Prefect• 6y+
Prompt Engineering
DevOps
Amazon EC2
Amazon EKS
Ansible
Azure DevOps
Bicep
CI/CD
CloudFormation
GCP
Git
GitHub Actions
Google GKE
Jenkins
New Relic
SLI/SLO/SLA
Terraform
Kubernetes
AWS• 4y+
AWS Lambda• 4y+
Azure
Cybersecurity
CIS Benchmarks
HIPAA
Microsoft Entra ID
NIST 800-53
PCI DSS
Analytics
Power BI• 6y+
Tableau• 6y+
Cryptography
Vault
Timeline
Data Engineer
•
Middle
UCLA Health
•
Full-Time
Built and maintained documentation for cloud infrastructure deployments to standardize operations and improve engineering onboarding. Designed scalable ETL architectures that increased processing speed and improved reliability for analytics teams. Implemented HIPAA-aligned healthcare data pipelines using Azure Data Factory, Azure Databricks, and SQL, including privacy controls for patient-level reporting. Improved collaboration practices and orchestrated ML/prompt-related workflows to enhance delivery efficiency across production environments.
Azure
Databricks
Azure SQL Database
SQL
Prompt Engineering
Data Engineer
•
Middle
JPMorgan Chase
•
Full-Time
Collaborated with product and business stakeholders to define data products, improving data accessibility and engagement. Improved observability for risk-modeling systems to enable proactive incident response and strengthen operational resilience. Developed AI-native features using TypeScript while refactoring and testing to reduce technical debt. Built AWS ingestion and transformation pipelines for financial datasets, using Redshift and Lambda alongside governed SQL models and security controls.
AWS
AWS Lambda
Amazon Redshift
TypeScript
SQLsince 2022
Associate Data Engineer
•
Middle
Deloitte
•
Full-Time
Integrated Prefect to enhance data orchestration and reduce processing errors across distributed pipelines. Streamlined internal frameworks and data tooling to shorten development cycles and increase team productivity. Built backend solutions enabling large-scale ETL throughput with high availability and fault tolerance, and improved quality through comprehensive testing. Modeled BigQuery datasets and semantic layers and supported analytics delivery using Tableau and Power BI.
Prefect
Google BigQuery
Tableau
Power BI
University of Texas at Dallas
Master's Degree •
Information Technology and Management