Open to opportunities

Charly Jose

@charlyjose

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Software Engineer building resilient data pipelines and scalable web platforms.

India

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What I'm looking for

I’m looking for a Software Engineering role where I can build reliable data ingestion and analytics systems, improve CI/CD and observability, and collaborate in agile teams to ship production-ready features with measurable impact.

I’m a Software Engineer with 3.5+ years of experience engineering, developing, and supporting software systems for research, enterprise, and academia. I enjoy turning complex data flows into reliable products, especially in agile teams working across time zones.

At Campbell Scientific, I designed and optimised Python/Redis ingestion for high-volume IoT data, implementing resilient MQTT-based ingestion mechanisms that significantly reduced data loss from intermittent connectivity. I also improved CI/CD and release processes with Git and ArgoCD, and expanded monitoring and observability to 99% coverage using Prometheus and Grafana—helping teams detect ingestion delays and failures earlier, with dashboarding and alerts that improved incident response efficiency by 50%.

Previously at Schlumberger (SLB), I helped build end-to-end streaming data pipelines integrating global flaring data (NASA VIIRS) using Azure Databricks and PySpark, and I developed an IoT device simulator with Azure IoT Hub for realistic load testing. I’ve also built internal tools and production reporting automation in compliance-driven environments, including Python-based reporting for teams and customers, and I’ve co-authored a research publication on an AI fine-tuned screenplay writer.

Experience

Work history, roles, and key accomplishments

Software Engineer

Campbell Scientific

Apr 2024 - Oct 2025 (1 year 6 months)

Designed and optimized Python/Redis IoT ingestion for high-volume MQTT streams, reducing data loss from intermittent device connectivity. Improved CI/CD with Git and ArgoCD, added Prometheus/Grafana observability to reach 99% coverage, built pipeline alerting, and improved incident response efficiency by 50%.

Python Redis MQTT Angular Git Prometheus Grafana CI CD Observability

Software Engineer - Work Placement

Schlumberger (SLB)

Jun 2022 - Jun 2023 (1 year)

Integrated NASA VIIRS global flaring data into SLB products and led end-to-end development of streaming data pipelines using Azure Databricks and PySpark. Built an Azure IoT Hub device simulator, migrated Databricks notebooks to Python wheel packages, optimized Azure DevOps CI/CD (reducing job execution time by ~8 minutes on average), and added metrics/logging with dashboards and alerts to improve

Azure Databricks Pyspark Azure IoT Hub Azure DevOps Python Packaging Streaming Pipelines Monitoring Logging Load Testing Data Engineering

Software Development Engineer

CareStack

Jul 2020 - Jun 2021 (11 months)

Developed internal customer onboarding tools using Azure SDK and communication APIs, and created automation scripts/cron tools to analyze Azure production environments, reducing triage time from 2 hours to 20 minutes. Built production reporting web applications with historical data, managed Azure resources (Web Apps, VMs, Databases, Containers, Storage, DNS/SSL), and supported HIPAA/PHI-compliant

Python Azure SDKs REST APIs Production Support HIPAA

Education

Degrees, certifications, and relevant coursework

University of Leicester

Master of Computer Science, Computer Science

2021 - 2024

Grade: Distinction

Master of Computer Science (Distinction), studying subjects including Big Data, Distributed Systems, Algorithms, Cybersecurity, and Service Oriented Architecture.