Expert Level

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• Python - 7+ years of production experience, used for data pipelines, automation, and ML
• Java - Enterprise applications, Spring framework, microservices architecture
• JavaScript/TypeScript - Full-stack development, React, Node.js

Proficient

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• Go - High-performance services, gRPC implementations
• Scala - Apache Spark applications, functional programming
• SQL - Complex queries, optimization, stored procedures
• Bash/Shell - Automation scripts, DevOps tooling

Familiar

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• C++ - System programming, performance-critical applications
• C# - .NET applications, Windows services
• PHP - Web applications, Laravel framework
• Ruby - Scripting, Rails applications

Data Processing

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• Apache Spark - Large-scale data processing, ETL pipelines
• Apache Kafka - Real-time streaming, event-driven architecture
• Apache Hudi - Data lake management, incremental processing
• Hadoop - HDFS, MapReduce, ecosystem tools

Machine Learning

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• Scikit-Learn - Classical ML algorithms, model training
• XGBoost - Gradient boosting, fraud detection models
• Pandas/NumPy - Data analysis, feature engineering
• TensorFlow - Deep learning experiments

AWS Services

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• Compute: EC2, Lambda, ECS, Fargate
• Storage: S3, EBS, EFS
• Database: RDS, DynamoDB, ElastiCache
• Analytics: EMR, Athena, Kinesis
• Networking: VPC, CloudFront, Route 53
• DevOps: CloudFormation, CodePipeline, CloudWatch

Container & Orchestration

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• Docker - Containerization, multi-stage builds
• Kubernetes - Container orchestration, Helm charts
• Mesos/Aurora - Large-scale cluster management

Infrastructure as Code

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• Terraform - Cloud resource provisioning
• Ansible - Configuration management, automation
• CloudFormation - AWS-specific IaC

SQL Databases

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• PostgreSQL - Advanced features, performance tuning
• MySQL - Replication, clustering
• Oracle - Enterprise features, PL/SQL

NoSQL Databases

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• DynamoDB - Serverless, auto-scaling
• Redis - Caching, pub/sub, data structures
• MongoDB - Document store, aggregation framework
• Cassandra - Wide column store, distributed systems

CI/CD

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• GitHub Actions - Workflow automation
• Jenkins - Pipeline as code
• GitLab CI - Integrated DevOps platform

Monitoring & Observability

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• Prometheus/Grafana - Metrics and visualization
• ELK Stack - Log aggregation and analysis
• New Relic - Application performance monitoring
• PagerDuty - Incident management

Version Control & Collaboration

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• Git - Advanced workflows, branching strategies
• GitHub/GitLab - Code review, project management
• Jira/Confluence - Agile project management

Leadership

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• Technical team leadership
• Mentoring junior engineers
• Cross-functional collaboration
• Strategic planning and execution

Communication

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• Technical documentation
• Stakeholder management
• Presentation skills
• Knowledge sharing

Problem Solving

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• System design and architecture
• Performance optimization
• Root cause analysis
• Data-driven decision making

• AWS Certified Solutions Architect (in progress)
• Continuous learning through online courses and conferences
• Regular participation in hackathons and tech talks