Swayambhu

I am Binaya, a Data Engineer / Solutions Architect in Kathmandu, Nepal

I build reliable data platforms for complex, real-world systems.

I work across Databricks, Apache Spark, lakehouse architecture, and cloud data engineering, from enterprise migrations to production pipelines.

Experience

Where I’ve worked

SunnyData Current

Data Engineer

Building Databricks and Apache Spark solutions as part of client delivery teams. Contributing to pipeline development and lakehouse architecture while applying internal frameworks and platform best practices.

Databricks · Apache Spark · Streaming · Cloud

Databricks (DPP Engagement)

Solutions Consultant via Ultra Tendency International GmbH.

Delivered client work through the Databricks DPP program in a role technically vetted by Databricks. Worked directly with Databricks clients and collaborated with Resident Solutions Architects while following Databricks delivery standards.

  • MigrationRefactored AWS Redshift and Pandas workloads into scalable Spark SQL, Scala, and PySpark transformations on Azure Databricks.
  • ScaleWorked across around 18 SAP source systems and additional non-SAP sources using ADLS, Unity Catalog, change processing, and partial or full recompute patterns.
  • QualityValidated business rules and performance with Excel-driven warehouse tests, ran workloads through Spark Connect, and automated coordinated jobs with Shell scripts.
  • DeliveryWorked within governed CI/CD standards using Databricks Asset Bundles, service principals, and environment-specific configuration.

Azure Databricks · AWS Redshift · SAP · Scala · PySpark · Spark SQL · Delta Change Data Feed · Unity Catalog · Spark Connect · Shell Scripting · Databricks Asset Bundles

Ultra Tendency

Data Engineer

Worked on enterprise ingestion, data modeling, and Spark optimization as part of large-scale data platform migration and modernization initiatives. Built technical proofs of concept to validate Databricks and Unity Catalog patterns before wider implementation.

Databricks · Apache Spark · SQL · Unity Catalog · Data Warehousing · Proofs of Concept

Software Engineer, Data Engineering

Built and supported healthcare data pipelines using Oracle SQL, PL/SQL, and ODI across production data workflows.

  • EngineeringDesigned and maintained ETL pipelines and data transformations for healthcare data processing and reporting.
  • PerformanceTuned Oracle SQL, PL/SQL, and batch workflows, reducing several long-running workloads by roughly 40% to 70%.
  • AutomationBuilt Shell and PL/SQL automation for recurring operations, validation, and production support activities.
  • LeadershipLed a team of six to seven engineers, coordinated delivery, reviewed changes, and supported reliable production releases.

Oracle · PL/SQL · ODI · ETL · Shell Scripting · Healthcare Data · Production Support

Selected work

A few things I’ve built

View all on GitHub ↗

About

A little more context

I’m a Data Engineer and Solutions Architect with around four years of experience building data systems across healthcare, manufacturing, automotive, and financial services.

My work spans pipeline development, data modeling, performance optimization, production support, and client-facing consulting. I’m most at home where distributed processing, reliable delivery, and clear platform design meet.

I’ve worked through high-pressure deliveries, production incidents, tight deadlines, shifting requirements, and complex corporate team dynamics. Those experiences taught me to stay calm, communicate clearly, take ownership, and keep delivery moving without compromising reliability.

Core

Databricks, Apache Spark, PySpark, Scala, Python, SQL, Delta Lake, Unity Catalog, Structured Streaming

Platform

AWS, Azure, Snowflake, Oracle, dbt, Airbyte, Kafka, Terraform, Databricks Asset Bundles, OIDC, Docker, Git, CI/CD

AWS Infrastructure

VPC, CIDR, Public and private subnets, Route tables, Internet Gateway, NAT Gateway, Security Groups, EC2, IAM, S3, Kinesis, Systems Manager, Route 53, CloudFront, API Gateway, VPC Endpoints, Elastic Load Balancing, Network observability

Azure Infrastructure

Virtual Network, Address spaces, Subnets, Route tables, NAT Gateway, Network Security Groups, Virtual Machines, Microsoft Entra ID, Blob Storage, Event Hubs, Azure Automation, Azure DNS, Azure Front Door, API Management, Private Endpoints, Azure Load Balancer, Network Watcher

Credentials

Certifications

Claude Certified Architect - FoundationsAnthropic · Issued Sep 27, 2026 · Expires Sep 27, 2027

Databricks Certified Data Engineer ProfessionalDatabricks · Valid May 2026 to May 2028

Databricks Certified Data Engineer AssociateDatabricks · Valid Dec 2025 to Dec 2027

Education

Academic background

BSc (Hons) Computer Science

First Class Honours

University of Wolverhampton

Get in touch

Have a data problem worth solving?

I’m always open to a thoughtful conversation about data platforms, lakehouse architecture, and engineering work.

sbinaya21@gmail.com ↗