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@nishanmaharjan
Senior Data Engineer specializing in scalable ETL/streaming systems, cloud data platforms, and ML pipelines.
I am a Senior Data Engineer with 6+ years building scalable ETL/ELT pipelines, real-time streaming solutions, and robust data warehouse architectures across AWS, Azure, and GCP. I design and productionize data platforms using Python, Spark (PySpark/Scala), Kafka, dbt, and Airflow to deliver reliable, low-latency data for analytics and ML.
My work has reduced data latency and improved processing efficiency through real-time ingestion, serverless pipelines, and cloud migrations; notable contributions include building Kafka/Spark streaming systems, automated serverless event processing, and migrating large raw data lakes to AWS S3 with Glue and Spark. I also develop CI/CD for data pipelines, containerized deployments with Kubernetes, and interactive dashboards to inform business decisions.
I prioritize compliance, observability, and collaboration—partnering with product, analytics, and compliance teams to meet GxP/HIPAA requirements, perform root cause analysis, and tune performance. I bring a hands-on, communicative approach to engineering challenges and a track record of enabling scalable ML-ready data platforms.
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Work history, roles, and key accomplishments
Change Healthcare
Jun 2023 - Present (2 years 5 months)
Built real-time ingestion systems and serverless pipelines using Kafka, Spark, Python, and AWS, reducing data latency by 20% and enabling ML-ready feature pipelines while ensuring GxP/HIPAA-compliant architecture.
Home Depot
Jan 2021 - May 2023 (2 years 4 months)
Developed scalable PySpark ETL and real-time processing systems with Kafka and Flink, optimized data pipelines and storage (Redshift, HDFS) and automated deployments with Docker/Kubernetes and Airflow.
Designed SQL data models and Azure Data Factory ETL pipelines for supply chain analytics, reducing manual reporting by 40% and delivering interactive Power BI dashboards for stakeholders.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from California State University, Sacramento.
Software and tools used professionally
Amazon Redshift
Fivetran
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Druid
Talend
AtScale
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
GitHub Actions
Salesforce
PySpark
dbt
Sqoop
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Databricks
Terraform
AWS CloudFormation
Visual Studio
Jira
JSON
XML
TensorFlow
scikit-learn
Kafka
Prometheus
Ambari
Linux
Datadog
Elasticsearch
Avro
AWS Lambda
Serverless
Webflow
Airflow
Root Cause
SQL
Airtable
Mode Analytics
Great Expectations
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