Abinash Koirala
Machine Learning Engineer
7+ years exp
Python
SQL
Active 14 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Data / AI & Machine Learning Engineer with professional experience building governed ETL/ELT pipelines and analytics-ready data platforms on AWS and Azure. Has worked on Snowflake/Redshift data modeling, dbt transformations with testing and lineage, and Airflow-based orchestration and monitoring, while supporting ML-ready feature engineering and predictive modeling workflows.
Technical skills
Python• Senior • 7y+
SQL• Senior • 7y+
Python
pySpark• 3y+
Databases
Apache Kafka
Databricks
Google BigQuery
PostgreSQL
Amazon Redshift• 3y+
Snowflake• 3y+
AI/ML
Anomaly Detection
Spark
Airflow• 3y+
dbt• 3y+
NumPy• 3y+
Scikit-learn• 3y+
XGBoost• 3y+
DevOps
Amazon EC2
CI/CD
GCP
Azure• 5y+
AWS• 3y+
AWS Lambda• 3y+
Git• 3y+
Analytics
Power BI• 3y+
Tableau• 3y+
Timeline
Data / AI & Machine Learning Engineer
•
Middle
Texas Instruments
•
Full-Time
Designed and maintained scalable ETL/ELT pipelines to ingest manufacturing, supply chain, ERP, and sensor data into analytics and ML-ready platforms. Built reusable transformation workflows and curated data models in Snowflake and Amazon Redshift for governed KPI consumption and feature generation. Developed AWS-based ingestion and processing using Lambda and orchestration, implemented dbt models with tests and lineage, and used Airflow for monitoring, retries, and alerting. Supported forecasting and anomaly-detection initiatives using Python, pandas, NumPy, scikit-learn, and XGBoost with end-to-end data validation.
Python
SQL
pySpark
NumPy
Scikit-learn
XGBoost
Airflow
dbt
Amazon Redshift
Snowflake
Git
Power BI
Tableau
AWS
AWS Lambda
Data Engineer
•
Middle
St. David's Healthcare
•
Full-Time
Built healthcare data pipelines ingesting patient-service, clinical, and operational data from EHRs, databases, APIs, and file sources. Implemented ETL/ELT workflows with Azure Data Factory and SQL/Python to load Azure Synapse and reporting-ready layers. Added scheduled refresh automation, data quality controls, reconciliation, and exception reporting to improve dataset reliability. Collaborated with IT and clinical stakeholders to translate reporting needs into technical specifications while maintaining privacy and governed access for sensitive data.
Azure
SQL
Python
Junior Data Engineer
•
Junior
HCA Healthcare
•
Full-Time
Developed SQL-based ETL to extract, transform, validate, and load healthcare claims, billing, utilization, and EHR-related data into reporting databases. Created Python and SQL scripts for data cleansing, standardization, reconciliation, and automation of recurring claims preparation workflows. Built relational data models and reporting tables for reimbursement, utilization monitoring, and provider performance reporting. Monitored scheduled jobs, assisted with troubleshooting and reruns, and documented mappings and data dictionaries to support auditability and production reliability.
SQLsince 2019
Pythonsince 2019
Midwestern State University
Master's Degree •
Business Analytics