Unique visitors
—last 30 daysHi! I'm Rabindra Sapkota
I am a Data Engineer and Instructor
7+ years of experience designing production data systems, and now translating that real-world work into free, practical learning content in Python, data science, and data engineering.

Free resources. Measurable reach.
Open learning, growing reach
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—last 30 daysPage views
—last 30 daysTotal recorded visitors
—since measurement beganLive traffic statistics are temporarily unavailable.
Visitors are distinct browser identities, not verified people or completed courses. Visits group page views until 30 minutes without a page view. Privacy choices and blocked tracking affect coverage.
Earlier reach: 2,737 users recorded in GA4 through Oct 17, 2026
Historical snapshot for sapkotarabindra.com.np, Feb 1, 2026–Oct 17, 2026 (Asia/Calcutta): 2,737 GA4 total users, 9,100 sessions and 64,851 page views. Reviewed Oct 18, 2026. These are traffic measurements, not verified learners. This dated snapshot uses GA4 definitions and is kept separate from the live counter; the totals are never added together.
About Me
Data Engineer & Backend Developer
I am a Data Engineer and Backend Developer with 7+ years of hands-on experience across fintech, retail, and healthcare domains. I design ETL pipelines, scalable backend services, and analytics workflows that support business-critical reporting, reconciliation, and decision-making.
Alongside delivery work, I publish applied learning content based on production challenges, focused on Python, data science, and data engineering. The goal is simple: help learners move beyond theory and build skills they can use confidently in real projects and real teams.
Current Work Experience
Now Working As
Lead Data Engineer
7+ years of hands-on experience across fintech, retail, and healthcare data systems.
- Architecting and optimizing ETL pipelines for healthcare ERA data processing.
- Designing scalable data infrastructure for analytics in healthcare claims workflows.
- Building Python-based data transformation and reconciliation workflows.
Career Snapshot
Lead Data Engineer
Leapfrog Technology, Inc
02/2023 - PresentSenior Data Engineer
LIS Nepal
08/2021 - 02/2023Data Engineer
eSewa Fonepay
11/2018 - 08/2021
Education Mission
Open Learning Mission
Build and maintain free learning resources that help students and self-learners start and grow in tech.
Current Content Focus
Publish practical lessons and guides in Python, data science, and data engineering with hands-on examples.
Sustainable Delivery
Use efficient cloud infrastructure and community-friendly distribution so educational content stays accessible.
Key Qualities
Practical Teaching
Explain concepts through examples you can apply to real projects quickly.
Engineering Mindset
Focus on reliable systems, clear architecture, and measurable outcomes.
Consistent Publishing
Keep improving and expanding free educational content over time.
Community Support
Share resources openly so more learners can grow without paywall pressure.
Professional Resume
Professional Summary
Lead Data Engineer with 7+ years of hands-on expertise designing and scaling ETL pipelines, cloud data architecture, and analytics infrastructure. Proven track record leading technical initiatives supporting millions of transactions daily across healthcare, e-commerce, and fintech sectors. Specialized in optimizing data workflows, reducing operational costs, and enabling data-driven decisions through reliable, scalable infrastructure.
Professional Experience
Lead Data Engineer
Leapfrog Technology, Inc02/2023 - Present
- Architect and optimize ETL pipelines for healthcare ERA data processing
- Design and deploy scalable data infrastructure supporting analytics for healthcare claims processing
- Develop Python-based data transformations for financial reconciliation workflows
- Engineer Amazon QuickSight dashboards providing visibility into pipeline health and business metrics
- Lead root cause analysis on production incidents and implement preventative measures
Senior Data Engineer
LIS Nepal08/2021 - 02/2023
- Architected scalable ETL solution ingesting POSLog data from retail APIs into AWS datalake
- Designed serverless architecture using AWS Lambda and S3 for data processing and analytics
- Engineered data warehouse implementation supporting analytics workflows with optimized query performance
- Developed robust data validation frameworks for upstream data quality assurance
- Delivered Oracle-to-Snowflake migration utilities for legacy data system consolidation
Data Engineer
eSewa Fonepay11/2018 - 08/2021
- Optimized SQL queries and developed stored procedures to improve report generation performance for financial reporting workflows
- Managed MySQL database infrastructure and implemented automation workflows for data management and analytics
- Implemented MySQL replication topologies (master-slave and multi-master configurations) achieving high availability for payment systems
- Built automated backup and disaster recovery systems protecting critical financial data across distributed infrastructure
- Developed Python and shell automation scripts for scheduled report generation delivering insights to stakeholders
Technical Skills
Data Platforms & Databases
- Snowflake
- PostgreSQL
- MySQL
- MongoDB
- Hive
- Athena
ETL & Data Tools
- Python
- Pandas
- PySpark
- Airflow
- SQL
Cloud & Infrastructure
- AWS
- Lambda
- S3
- CloudFormation
- QuickSight
Development & Tools
- Linux
- Shell Script
- Docker
- Git
- Jira
- Regex
Personal Projects
mailerpy - Open-source Python library enabling scalable, reliable email workflows - abstracts SMTP complexity and improves email delivery reliability
Churn Analysis Pipeline - End-to-end ETL pipeline extracting customer records from MySQL into Hive, computing churn metrics, and exposing APIs for analytics and visualization
Services
What I can do for you
Data Engineering Tutor
Mentoring learners in Python, data engineering
ETL Pipeline Development
Designing and implementing data pipelines
Cloud Solutions
AWS cloud architecture and deployment
Contact
Get in touch with me
Learn Python, Data Science, and Data Engineering for Free
Start with courses, deepen with blog tutorials, and practice with interactive resources.