Rojan Adhikari

Rojan Adhikari

Data Engineer

Cloud Data Platforms · Streaming Systems · Infrastructure Automation

I build reliable, scalable data platforms using AWS, Apache Flink, Kafka, Terraform, and Kubernetes.

I work at the intersection of data engineering, cloud infrastructure, and platform reliability.

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Last updated: July 2026

About

I'm a data engineer specializing in cloud data platforms, infrastructure automation, and real-time data processing. My work involves designing and supporting systems built with AWS, Apache Flink, Kafka, Kubernetes, Terraform, and Python.

I currently contribute to enterprise data platforms where I help build deployment automation, streaming pipelines, infrastructure-as-code, monitoring, access controls, and operational tooling. I also troubleshoot distributed-system issues involving container deployments, IAM permissions, stream processing, data consistency, and pipeline reliability.

I enjoy working on problems where data engineering, cloud infrastructure, and platform reliability come together. My goal is to create systems that are scalable, observable, secure, and easier for engineering teams to operate.

Currently

Location
Based in Dallas, Texas
Current focus
Working on cloud data-platform engineering
Interested in
Interested in Data Engineering, Cloud Data Engineering, Data Platform Engineering, Infrastructure Engineering opportunities

Experience

  1. November 2025 – Present

    Senior Data Engineer

    Enterprise Energy and Utilities Client · Contract

    Contribute to the development and operation of enterprise cloud data platforms supporting batch and real-time data-processing workloads.

    • Build and maintain cloud data infrastructure using AWS, Terraform, Kubernetes, Helm, and GitHub Actions.
    • Support streaming-data workloads using Apache Flink, Apache Kafka, Debezium, and Apache Hudi.
    • Develop and improve CI/CD workflows for building, publishing, and deploying containerized applications.
    • Implement monitoring and alerting using Prometheus, Grafana, Grafana Alloy, and Mimir.
    • Investigate incidents involving container deployments, image availability, checkpoint failures, data duplication, permissions, and pipeline performance.
    • Configure AWS services including IAM, Lake Formation, Glue, S3, KMS, SNS, Lambda, EventBridge, Athena, EKS, and Secrets Manager.
    • Automate infrastructure provisioning and environment configuration through Terraform and deployment workflows.
    • Collaborate with application teams, infrastructure engineers, and product teams to troubleshoot platform issues.
    • Participate in production deployments, on-call rotations, root-cause investigations, and platform support.
    • Create documentation and operational runbooks that help teams safely manage cloud resources and data-platform operations.
    • AWS
    • Python
    • Terraform
    • Apache Flink
    • Apache Kafka
    • Kubernetes
    • Docker
    • GitHub Actions
    • Grafana
    • Prometheus
    • Apache Hudi

Featured Projects

Real-Time Streaming Data Platform

A cloud-native streaming pipeline that ingests events from Kafka, processes them with Apache Flink, and writes curated data to a cloud data lake.

  • Apache Kafka
  • Apache Flink
  • Python
  • AWS S3
  • Apache Hudi
  • Terraform
  • Grafana
  • Docker
Read case study

Data Platform Observability

A monitoring and alerting solution for distributed data-processing workloads using Prometheus-compatible metrics and Grafana.

  • Grafana
  • Prometheus
  • Grafana Alloy
  • Mimir
  • Kubernetes
  • Apache Flink
  • Apache Kafka
Read case study

Data Engineering Operations Toolkit

A Python command-line toolkit for validating cloud resources, checking deployment configuration, and simplifying common data-platform operational tasks.

  • Python
  • AWS SDK for Python
  • Pytest
  • Docker
  • GitHub Actions
Read case study

Skills

Data Engineering

  • Apache Flink
  • Apache Kafka
  • Apache Hudi
  • Apache Iceberg
  • Debezium
  • ETL and ELT
  • Batch Processing
  • Stream Processing
  • Change Data Capture
  • Data Lakes

Cloud and Infrastructure

  • AWS
  • Terraform
  • Kubernetes
  • Helm
  • Docker
  • GitHub Actions
  • Infrastructure as Code
  • CI/CD

AWS Services

  • S3
  • Glue
  • Lake Formation
  • Athena
  • Lambda
  • SNS
  • EventBridge
  • IAM
  • KMS
  • Secrets Manager
  • EMR
  • EKS

Observability

  • Grafana
  • Prometheus
  • Grafana Alloy
  • Mimir
  • CloudWatch
  • Alerting
  • Operational Dashboards

Programming

  • Python
  • SQL
  • Bash
  • Java
  • YAML
  • Markdown

Engineering Practices

  • Distributed Systems Troubleshooting
  • Root-Cause Analysis
  • Production Support
  • Technical Documentation
  • Security and Access Control
  • Agile Collaboration

Education

May 2025

Master of Science in Computational Science – Computer Science

[UNIVERSITY NAME]

Graduate study focused on computer science, computational methods, software development, data processing, and applied technical problem-solving.

Relevant Coursework

  • Distributed Systems
  • Cloud Computing
  • Database Systems
  • Data Structures and Algorithms
  • Software Engineering
  • Machine Learning
  • High-Performance Computing

Contact

I’m interested in opportunities involving data engineering, cloud infrastructure, streaming systems, and platform engineering. Feel free to reach out if you would like to discuss a role, project, or technical collaboration.

rojan.adhikari23@gmail.com
LinkedIn
www.linkedin.com/in/rojan998 (opens in a new tab)
GitHub
github.com/Rojan998 (opens in a new tab)
Location
Dallas, Texas