Yogesh Chandra Ramakrishna
Technical Architect @HCLTech
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WORK HISTORY
Technical Architect @HCLTech
Manchester, GB
Backend & Python Engineering:Architected and delivered scalable, high-availability backend systems and RESTful APIs using Python, Django, and Django REST Framework, ensuring performance, security, and maintainability. Led end-to-end solution architecture, translating complex business and non-functional requirements (NFRs) into robust, cloud-ready technical solutions. Provided technical leadership to globally distributed, cross-functional teams, enforcing architectural governance, coding standards, and engineering best practices.Designed reusable frameworks, shared libraries, and automation standards, improving development efficiency, code quality, and system consistency. Championed Agile Scrum methodologies, embedding quality and continuous improvement throughout the software lifecycle.CI/CD & DevOps Architecture:Designed and implemented end-to-end CI/CD pipelines for automated build, test, security validation, and deployment across multiple environments.Implemented DevOps best practices with Git, Jenkins, GitHub Actions, Docker, Kubernetes, and Terraform, enabling faster release cycles, reduced deployment risk, and improved system reliability and observability.Cloud & Event-Driven Systems:Developed cloud-native, event-driven architectures on AWS (Lambda, SQS, SNS, ECS, Step Functions, EC2, S3, IAM).Ensured scalability, fault tolerance, and high availability of production systems.Data Engineering & Analytics Platforms:Designed and implemented scalable data pipelines using Databricks, Apache Spark, and Delta Lake for high-volume IoT and log data.Built batch and near real-time workflows to ingest, process, and curate structured and semi-structured data.Leveraged Delta Lake for ACID-compliant storage, efficient time-series handling, and reliable data pipelines.Established data catalogs, metadata management, and governance practices for improved data discoverability and compliance.
EDUCATION
Coorg Institute of Technology, PONNAMPET
Bachelor of Engineering (B.E.), Computer Science
SKILLS
ABOUT YOGESH CHANDRA RAMAKRISHNA
I am a Technical Lead Python Developer with extensive experience in building scalable, secure, and high-performance backend systems using Python and Django. Experienced in designing REST APIs, microservices, and event-driven architectures on cloud platforms (AWS, Docker, Kubernetes). In addition, I have hands-on experience in data engineering: ETL pipelines, data processing, automation, and analytics. Skilled in working with relational and NoSQL databases, data warehouses, and building data-driven products. Core strengths include cloud-native systems, CI/CD pipelines, Infrastructure as Code, and performance optimization. I thrive in collaborative, autonomous teams delivering reliable, production-grade software and data platforms. Keywords: Python, Django, REST APIs, Flask, FastAPI, Data Engineering, ETL, Spark, Airflow, AWS, Lambda, ECS, SQS, SNS, Docker, Kubernetes, CI/CD, Terraform, Microservices, Event-Driven Architecture, SQL, NoSQL, Data Pipeline, Scalable SystemsBackend Engineering & APIsPython, Django, Django REST Framework, Flask, RESTful API design, secure and scalable backend services, microservicesCloud Platforms & AutomationAWS (EC2, S3, Lambda, IAM, VPC, ECS), Docker, Kubernetes, Terraform, cloud-native deployments, infrastructure automationDevOps & CI/CDCI/CD pipelines, GitHub Actions, Jenkins, automated build and deployment workflows, release governance, environment managementSystem & Solution ArchitectureScalable cloud-native architectures, high-availability systems, reusable frameworks, performance optimization, non-functional requirements (NFRs)Data Engineering & Analytics PlatformsPython for data processing, Databricks, Apache Spark, Delta Lake, ETL, batch & streaming pipelines, Airflow, workflow orchestration, data catalogs, IoT/log analyticsAI, Analytics & Modern Data UsageApplied machine learning, statistical analysis, GenAI integration, analytics-ready data platformsDelivery Leadership & Agile ExecutionAgile Scrum, cross-functional team leadership, stakeholder collaboration, end-to-end delivery ownership
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