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Sijan Kafle

@sijankafle

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Senior Data Engineer specializing in cloud-native, scalable data platforms and real-time analytics.

United States

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What I'm looking for

I seek senior-level roles building scalable, secure cloud data platforms with opportunities to lead migrations, drive governance, and mentor teams.

I am a results-driven Senior Data Engineer with over 7 years of experience designing, building, and optimizing large-scale data pipelines and modern data architectures across healthcare, insurance, and retail sectors.

I specialize in AWS-centric cloud ecosystems while contributing to Azure and GCP environments, implementing secure data lakes, data warehouses, streaming platforms, and AI/ML-ready pipelines that improve performance and compliance.

My hands-on achievements include Redshift optimization that reduced query latency by 60%, migrating on-prem Hadoop to EMR with Spark tuning and autoscaling, and cutting processing times by 55% through PySpark transformations on Databricks.

I lead cross-functional initiatives in data migration, governance, DevOps for data, and cost optimization while mentoring teams and driving multi-cloud interoperability, observability, and secure, production-grade CI/CD for data workloads.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Kaiser Permanente

Aug 2024 - Present (1 year 10 months)

Architected scalable AWS-based data pipelines and a secure data lake, reducing query latency by 60% and enabling real-time patient monitoring via Kinesis and MSK while ensuring HIPAA-compliant governance.

AWS Glue Amazon Redshift S3 Kinesis Kafka Pyspark Terraform Lake Formation EMR

Data Engineer

Nationwide Mutual Insurance

Jun 2021 - Jul 2024 (3 years 1 month)

Built and optimized Azure data lake and Synapse analytics solutions, reduced processing time for actuarial models by 55% and implemented Delta Lake architectures for unified batch/streaming pipelines.

Azure Data Factory Azure Synapse Databricks Pyspark Delta Lake Power BI Azure DevOps

Big Data Developer

Home Depot

Sep 2018 - Apr 2021 (2 years 7 months)

Developed Hadoop-based ETL pipelines and real-time ingestion frameworks, improving batch processing performance by over 40% and reducing storage footprint by 30% through compression and optimized workflows.

Hadoop Hive MapReduce Sqoop NiFi Oozie Python Kerberos