Hire the Best Apache Cassandra Developers

🥇TOP RATED PLUS | 👨🏻‍💻 4000+ WORKING HOURS 💼 7+ YEARS EXPERIENCE | 🏆100% Job Success ⭐️⭐️⭐️⭐️⭐️ "I had the pleasure of managing Dasun (Era), a senior software engineer, on our recent project, and I must say, it was a fantastic experience. Era's code was top-notch, well-structured, and he always delivered more than we expected. What really stood out was Era's communication skills; he kept the team in the loop, asked smart questions, and had great suggestions. Working with Era was a breeze - he was professional, met deadlines, and handled challenges with ease. I can't wait to hire him again ASAP; he's a star in our team! ⭐️⭐️⭐️⭐️⭐️"I was very happy with the work from Era on a spring web flux project. He produced code that was excellent quality and proactively fixed issues and made improvements as he worked through the tasks." I am a seasoned software engineer with over 7 years of experience, specialising in Java, Spring Boot, and REST API development. My passion lies in tackling new challenges and establishing long-lasting collaborations that drive innovation and excellence in every project. Technical Expertise: ✅ Proficient in Java, including Java 8, Java 11, Java 17. ✅ Expertise in developing web applications in the Banking and Financial domain for over the 5 years. ✅ Backend development experience with Spring Boot Spring webflux, REST API development, application security, scalability, and proficiency in Spring Data JPA, Hibernate, Spring Cloud, and Spring Security. ✅ Proficiency in Microservice design pattern with Clean code principals and Domain Driven Design and inter service async communication with Event-Driven architecture, CQRS (Command Query Responsibility Segregation), SAGA patterns, Load balancing, Config management, and Gateway implementation. ✅ Knowledge of application security best practices, including OAuth 2 implementation, JWT token-based authentication, and authorization. ✅ Experience in Test-Driven Development (TDD) and unit testing using JUnit 5 and Mockito, as well as snapshot testing with Jest and Enzyme. ✅ Familiarity with both relational and NoSQL databases, including MySQL, Oracle, PostgreSQL, MongoDB, and Amazon QLDB. ✅ Hands-on experience with AWS, including designing and implementing highly scalable and secure infrastructure plans, application deployment, and CI/CD pipelines using AWS services like CodeCommit. Proficiency in migrating on-premises applications to the AWS cloud. ✅ Expertise in DevOps practices, including CI/CD with Jenkins and GitHub Actions, containerization using Docker, terraform script development, Ansible, Container Orchestration with Kubernetes clusters and Amazon EKS (Elastic Kubernetes Service), and version control using Git. ✅ Experience in setting up monitoring and logging solutions like Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), or AWS CloudWatch to ensure the health and performance of applications. ✅ Understanding of distributed system concepts, including message brokers like Apache Kafka or RabbitMQ, and the implementation of distributed transactions. ✅ Expertise in optimising application performance, including profiling, caching strategies, and database query optimisation. ✅ Proficiency in modern Software Development Life Cycle (SDLC) methodologies, including Agile (SCRUM), and tools such as Jira, Confluence, and SonarQube. ✅ Mastery of Object-Oriented Programming (OOP) concepts, SOLID principles, and Data Structures & Algorithms. I have a proven track record of delivering exceptional results for my clients, including: ☑ Boosting client revenue by 30% through targeted web application improvements. ☑ Increasing code quality by 80% using best practices and the Boy Scout Rule. ☑ Mentoring junior developers to enhance their Java skills and problem-solving abilities. I am confident that my strong technical background and commitment to excellence will make me an asset to your team. If you would like to discuss how I can contribute to your next project, please don't hesitate to reach out. Thank you for considering my application, and I look forward to speaking with you soon. Best regards, Dasun.

Slow databases? Production outages? Performance bottlenecks affecting your business? I help organizations identify root causes, optimize database performance, and build reliable database platforms. I am a senior database administrator (DBA) with over 13 years of hands-on experience managing production database systems. I specialize in MySQL, MariaDB, PostgreSQL, SQL Server, MongoDB adn Oracle, providing database troubleshooting, incident response, daily operations and maintenance, performance optimization, and reliable backup, high availability, and disaster recovery solutions for mission-critical environments. 🔍 Database Expertise: With over 13 years as a senior expert in MySQL/MariaDB/Percona/PostgreSQL/MongoDB/Oracle/SQL Server/DuckDB, I’ve managed over 5000 databases and 300 TB+ of data. My experience covers database architecture, performance optimization, backup and recovery, High availability, disaster recovery, and much more. I ensure every database solution I deliver is robust, scalable, high performance, and perfectly aligned with your business needs. 🛠️ Technology Stack: MySQL/Percona (Versions 5-9) MariaDB (Versions 5-12): Installation、High Availability, Replication, and Scalability Solutions、InnoDB Cluster、Group Replication、Workbench/Shell/Router、Backup & Restore、Galera Cluster、Percona XtraDB Cluster、XtraBackup、Toolkit、InnoDB/MyISAM/Binlog、Orchestrator、replication-manager. PostgreSQL (Versions 7-18): Installation、High Availability, Replication, and Scalability Solutions、SQL Tuning、pgpool-II、PostGIS、TimescaleDB、ClickHouse、Patroni、Citus、pgvector、Security、Supabase、Neon. MongoDB (Versions 3-8) / MongoDB Atlas : Installation、MongoDB Shell (mongosh)、Aggregation、Indexes、Atlas、Time Series、Change Streams、Replication、Sharding、Storage、Administration、Security. SQL Server (Versions 6.5 – 2025): Installation、High Availability and Disaster Recovery (Always On AG, FCI, Log Shipping, Replication)、Distributed Availability Groups、SQL Server Management Studio / Azure Data Studio / sqlcmd、Backup & Restore、Failover Cluster / Always On Solutions、PowerShell dbatools / First Responder Kit、Storage Engine / Transaction Log / Change Data Capture. Other Database : Oracle、DB2、Redis、SQLite、DuckDB、DocumentDB Cloud service providers: AWS RDS、AWS Aurora、Amazon DocumentDB、GCP、Azure、N8N creator. Certifications: I hold certifications from Cisco, Oracle, MySQL, AWS, ITIL, PMP, and TOGAF, ensuring I bring industry-recognized expertise to every project. 📈 Why Choose Me? Proven Experience: Worked for leading ICT and IoT solution providers, supporting major operators, banking, and financial enterprises. End-to-End Solutions: From designing high availability architectures to delivering query optimizations and backup solutions, I offer complete database management expertise. Training & Support: I also provide course training for companies looking to empower their teams with database-related skills. 🤝 Let’s Collaborate: If you’re looking for a seasoned database professional to tackle challenges in MySQL, PostgreSQL, MongoDB, Oracle, or other database technologies, let’s discuss how I can help streamline your operations and enhance performance. 📩 Contact Me: I’m ready to dive into your project. Reach out, and let’s unlock the full potential of your data infrastructure together!

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing

A Senior Data Engineer with 8+ years of experience building reliable, scalable data pipelines and infrastructure, from data ingestion and transformation through warehousing, streaming, and data analytics with dbt, Snowflake, Airflow across AWS, Azure, and GCP with robust ETL and ELT. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

I am an Expert Full Stack Developer and Technical Lead with 10+ years of experience designing, developing, and delivering secure, scalable, and high-performance enterprise applications. My expertise includes React, Next.js, Node.js, Java, Spring Boot, Microservices, REST APIs, AWS, Kubernetes, Kafka, and AI-powered application development. I help businesses build modern web applications, backend services, cloud-native platforms, and enterprise-grade systems that are reliable, scalable, and easy to maintain. I have strong experience in both frontend and backend development, with a focus on clean architecture, performance, security, and production-ready delivery. My technical expertise includes: Frontend: React, Next.js, JavaScript, TypeScript, HTML, CSS Backend: Java, Spring Boot, Spring MVC, Spring Security, Node.js, REST APIs, GraphQL, gRPC, SOAP Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, CI/CD Databases & Messaging: Oracle, PostgreSQL, MySQL, SQL Server, MongoDB, Redis, Kafka, RabbitMQ, ActiveMQ AI & Modern Apps: AI integration, API-based AI solutions, cloud-based intelligent applications Testing & Quality: JUnit, Mockito, API testing, performance tuning, logging, monitoring, code review In my recent technical leadership role, I architected cloud-based and serverless platforms using AWS, Spring Boot, Kafka, and Kubernetes, helping improve loan processing speed by 35%, reduce infrastructure costs by 30%, and improve approval accuracy by 15%. I have also designed secure systems for managing sensitive customer data, implemented CI/CD automation, mentored developers, and delivered enterprise solutions in highly regulated environments. I can help you with: Backend and full stack application development React / Next.js web application development Node.js API development Java Spring Boot microservices REST API and GraphQL API development AWS cloud-native application development AI feature integration into existing applications Kafka / RabbitMQ / ActiveMQ integration Database design and query optimization Legacy system modernization CI/CD setup and deployment automation Performance tuning and troubleshooting Technical architecture and code review I believe in delivering clean, maintainable, secure, and production-ready solutions with proper documentation, testing, logging, and best engineering practices. Let’s connect if you need a reliable full stack developer who can design, build, troubleshoot, and deliver modern Java, React, Node.js, AI, and cloud-based applications.

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.