Ranjan Karki Ranjan Karki
@ranjankarkiranjankar
Senior Data Engineer specializing in cloud-native, compliant, high-performance data platforms.
What I'm looking for
I am a Senior Data Engineer with over six years of experience designing and delivering cloud-native data platforms across AWS, Azure, and Google Cloud. I focus on building scalable ETL and streaming pipelines, data lakes, and data warehouses that enable data-driven decision-making.
My work emphasizes compliance and security for regulated industries, having implemented HIPAA, HITECH, GDPR, FDA 21 CFR Part 11, and 21 CFR Part 820 controls while optimizing performance in Redshift, BigQuery, Snowflake, and Azure Synapse.
I lead automation and CI/CD for data infrastructure using Terraform, Azure DevOps, AWS CodePipeline, and GitHub Actions, and I have built data quality frameworks with Great Expectations and AWS Glue DataBrew to ensure dataset integrity at scale.
I collaborate closely with BI and data science teams to operationalize ML models and deliver self-service analytics through Power BI, Looker, and QuickSight, while ensuring secure multi-cloud integrations and observability for production data systems.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
AbbVie
Jan 2023 - Present (3 years)
Architected and developed end-to-end Azure and multi-cloud data pipelines and a data lakehouse, ensuring HIPAA/GDPR/FDA compliance and enabling real-time analytics and ML workflows for healthcare data.
Data Engineer
MetLife
Jul 2020 - Nov 2022 (2 years 4 months)
Designed and implemented scalable AWS ETL pipelines with Glue, Redshift, Kinesis and CI/CD, driving multi-cloud data integration and real-time streaming to support analytics at scale.
ETL Developer
Geico
Jun 2018 - May 2020 (1 year 11 months)
Designed and migrated legacy ETL systems to high-performance solutions using Informatica and SSIS, optimized SQL/PLSQL pipelines, and implemented data quality and automation processes.
Education
Degrees, certifications, and relevant coursework
Southern Methodist University
Master of Science, Data Science
Master's in Data Science with a specialization in Machine Learning from Southern Methodist University.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
AtScale
Data Studio
Amazon Quicksight
AWS IAM
Google Cloud Platform
Amazon CloudWatch
Amazon S3
Google Cloud Storage
GitHub
Bitbucket
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
PySpark
AWS Glue DataBrew
dbt
Microsoft SQL Server
HBase
Gmail
Databricks
Terraform
Azure DevOps
Jira
Java
JSON
XML
Azure Machine Learning
TensorFlow
MLflow
scikit-learn
Kafka
Prometheus
Datadog
AWS X-Ray
Oracle PL/SQL
Amazon Kinesis
Azure Security Center
Avro
AWS Lambda
Azure SQL Database
Airflow
Azure Analysis Services
Time Analytics
Google BigQuery
SQL
Azure Blob Storage
ServiceNow
Mode Analytics
LangChain
Ray
Delta Lake
Great Expectations
Bash
Enhance
Availability
Location
Authorized to work in
Job categories
Skills
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