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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!

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!

Data Engineering | Cloud Solutions (AWS/GCP/Azure) | Full Stack Java & Python Development | ETL Pipelines | Spring Boot | SQL Performance Tuning | Apache Hadoop & Spark | Snowflake | dbt | Enterprise Backend Systems I am a 𝗨𝗦-𝗯𝗮𝘀𝗲𝗱 𝗦𝗲𝗻𝗶𝗼𝗿 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗖𝗹𝗼𝘂𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝘄𝗶𝘁𝗵 𝗼𝘃𝗲𝗿 𝟴 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗹𝗲𝘃𝗲𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 building high-performance systems for Fortune 500 companies, including JPMorgan Chase and Ford Motor Company. I specialize in designing scalable backend microservices, optimizing slow databases, and architecting heavy big data pipelines that process millions of records without downtime. I don't just write code, I architect & build systems that process millions of records, reduce company costs, and stay alive at scale. ⚡ 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 & 𝗦𝗧𝗔𝗖𝗞 ◆ Backend Development Java (8, 11, 17), Spring Boot, Spring Security, Spring Batch, Spring Cloud Dataflow, Hibernate, JPA, JWT Authentication, Microservices Architecture, Multi-threading, Python, FastAPI, Django, Flask, Node.js, NestJS, TypeScript ◆ Data Engineering & ETL Apache Spark, Apache Hadoop, Apache Beam, Apache Hive, Apache Airflow, GCP Dataflow, AWS Glue, dbt, SSIS, Talend, Snowflake, BigQuery, Spring Batch, Spring Cloud Dataflow, Data Ingestion Pipelines, Data Warehouse Design ◆ API & Integrations RESTful APIs, GraphQL, gRPC, WebSockets, Apigee, Swagger/OpenAPI, Payment Gateways, Google APIs, Power BI, Qlik Sense, Open Banking Connectors, Active Directory, ADFS, Zapier, Stitch ◆ Cloud & DevOps GCP (Cloud Run, Cloud Functions, BigQuery, Pub/Sub, GKE, Dataflow) AWS (Lambda, EC2, S3, RDS, Redshift, EKS, CloudWatch, CloudFormation) Azure (AKS, Sentinel, Defender for Cloud, DevOps, Landing Zones) Terraform, Kubernetes, Docker, GitHub Actions, Jenkins, Tekton, Azure DevOps, Control-M ◆ Database & Administration PostgreSQL, SQL Server, MongoDB, MySQL, Oracle, Redshift, DynamoDB, BigQuery, Redis, Snowflake, SQL Performance Tuning, Schema Design, High Availability (Always On, Failover Clustering, Log Shipping), SSRS Reporting, Backup & Recovery ◆ Full Stack Development React.js, Next.js, Node.js, Redux, TypeScript, Tailwind CSS, Angular ◆ Testing & Monitoring JUnit, Mockito, MockMVC, Jest, TDD, Integration Testing, Grafana, Splunk, GCP Cloud Monitoring, Azure Sentinel, Webex Alerting, Legacy System Cloud Migration ◆ AI & Developer Tools Claude Code, Cursor, OpenAI Codex, AI/ML Pipeline Integration, LLM-based Workflows, Intelligent Automation 📌 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 𝗜'𝗩𝗘 𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗘𝗗 ▸ Built core credit card banking microservices at JPMorgan Chase handling millions of daily transactions ▸ Architected GCP Dataflow pipelines at Ford Motor Company processing millions of records into BigQuery daily ▸ Delivered digital banking platforms powering retail and corporate banking across open banking environments ▸ Reduced ETL data processing times by over 99% for healthcare and enterprise clients ▸ Built mobile backend microservices at 𝗝𝗲𝘁𝗕𝗹𝘂𝗲 𝗔𝗶𝗿𝘄𝗮𝘆𝘀 serving thousands of daily travelers ▸ Administered high-availability database systems for federal government procurement 🏭 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Fintech · Digital Banking · Healthcare · Government · Automotive · Enterprise SaaS · Education · E-commerce · Travel & Hospitality · Open Banking ✅ 𝗣𝗘𝗥𝗙𝗘𝗖𝗧 𝗙𝗜𝗧 I work best with teams who: → Need Java or Python expertise without hand-holding → Have APIs, pipelines, or databases that need fixing or scaling → Are building on AWS, GCP, or Azure and need someone who knows these environments → Want clean maintainable code delivered on time → Need a developer who can also talk to clients and stakeholders professionally I communicate clearly, deliver on time, and bring Fortune 500 engineering standards to every project regardless of size. Ready to build something that scales? Send me a message or 𝗰𝗹𝗶𝗰𝗸 𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯. I respond within a few minutes. Java Developer · Python Developer · Backend Developer · Data Engineer · ETL Developer · Spring Boot · FastAPI · Django · Flask · REST API · GraphQL · Microservices · Apache Spark · Apache Airflow · dbt · Snowflake · AWS · GCP · Azure · Terraform · Kubernetes · Docker · PostgreSQL · SQL Server · MongoDB · Node.js · React.js · Full Stack Developer · Cloud Architect · API Integration · Data Pipeline · Data Warehouse · CI/CD · BigQuery · Kafka · Redis · Rabbi

Senior Data Engineer building production ETL/ELT pipelines, cloud data warehouses, and analytics platforms that turn fragmented data into reliable, business-ready insight. Over 1,700 hours on Upwork with a 100% Job Success Score, specializing in Airflow orchestration, dbt transformation, and Snowflake/BigQuery warehousing across AWS, GCP, and Azure. 🔧 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 - ETL/ELT pipelines (batch + streaming) - Workflow orchestration with Airflow, Dagster, MWAA, Step Functions - Data ingestion, replication, and CDC with Fivetran, Airbyte, Meltano - Pipeline monitoring, alerting, and cost optimization 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 & 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 - Snowflake, BigQuery, Redshift, Databricks, ClickHouse, Postgres - Star, Snowflake, Kimball, and Data Vault modeling - Schema evolution, partitioning, and clustering - Query performance tuning for BI workloads 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 - AWS (S3, Lambda, Glue, Athena, MWAA, Step Functions) - GCP (BigQuery, Pub/Sub, Cloud Functions, Dataflow) - Azure (Data Factory) - Docker, Kubernetes (EKS/GKE/AKS), Helm 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 & 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 - Apache Kafka, Spark Structured Streaming - Event-driven architectures - CDC pipelines for low-latency analytics 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝗜 - Power BI, Looker, Tableau, Looker Studio - Superset, Metabase, Klipfolio - Semantic layers and self-service KPI dashboards 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗜𝗺𝗽𝗮𝗰𝘁 - Built a real-time FinTech analytics platform (Markets4U) with ClickHouse and Power BI for sub-second dashboard latency - Designed a smart real estate analytics stack (ECAP) using Airflow, dbt, and Snowflake for automated property reporting - Unified Salesforce and operational data (ASR) into a centralized customer analytics layer with Power BI - Modernized a legacy Excel reporting workflow into a full Airbyte → dbt → BigQuery → Looker Studio pipeline 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗵𝗶𝗿𝗶𝗻𝗴 𝗺𝗲 - 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽: architecture → development → deployment → documentation - 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀-𝗳𝗶𝗿𝘀𝘁: data shaped to support decisions, not just processed - 𝗖𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: frequent updates, no surprises, proactive escalation - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲: modular, testable, scalable pipelines built to grow with your product 📩 Send me a message about your data challenge, I'll review it and recommend the cleanest path forward.

🌟 Expert-Vetted Talent - Recognized in Upwork's top 1% of Talent ✅ Established Track Record of Hours and Earnings 🚀 Fastest Response Times 💯 100% Job Success Awarded by Clients 🔝 Top Rated Plus by Upwork, Freelancer and Agency 🔎 Searching for New Opportunities and Problems to Solve Hello and welcome, thank you for considering me for your project. My Upwork profile’s stats clearly demonstrate both my expertise and the value I add to every team that brings me on. The thousands of hours clocked on this platform alone speak to my years of experience in Software Development, and the total earnings shows a glimpse of how valuable that time has been for clients. I am available and ready to answer specific questions about your project’s current problem, next opportunity, or my fit for it. Shall we get to work? Send a message or an invite now and I will be right with you. 𝐖𝐡𝐲 𝗖𝗹𝗶𝗲𝗻𝘁’𝘀 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: 1. 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Decades of experience bring a deep understanding of various languages, frameworks, platforms and tools, common and uncommon pitfalls, and alternative solutions. 🗯️ “He was very responsive to our messages and explained what was needed in our project clearly. He is definitely an expert in his work.” 2. 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝗼𝗹𝘃𝗶𝗻𝗴: I have a proven track record and knack for solving complex problems and providing customized solutions for specific business needs and challenges. 💭 “Isaac was able to quickly discern what I needed and delivered…” 3. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗩𝗶𝗲𝘄 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝗼𝗻: Years of experience and diverse projects have helped me accumulate a broad set of skills and tools. I use this experience to the advantage of my client’s projects in not only accomplishing tasks, but in advising and consulting on potential challenges and opportunities. 💬 “LIFE SAVER!!! I have now use(d) Issac for two separate jobs now and will be bringing him on for some regular hours. Hopefully we get some funding and I can do even more with him. GREAT DEVELOPER” 𝐌𝐲 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Python|Django|PHP | MySQL | Laravel | WordPress | CodeIgniter | ExpressionEngine | CSS | HTML | JavaScript | Express.js | React.js | Bootstrap | PostgreSQL | NoSQL | Linux | Apache | Nginx | API | Git | SVN | Amazon Web Services | AWS EC2 | 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝗜 𝐎𝐟𝐟𝐞𝐫: 𝐅𝐫𝐨𝐧𝐭 𝐚𝐧𝐝 𝐁𝐚𝐜𝐤-𝐄𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Planning, Design, Documentation, Coding, Testing, Debugging, Deployment, Monitoring, and Maintenance. 𝐒𝐲𝐬𝐭𝐞𝐦 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Cloud infrastructure Design, Deployment, Optimization, Maintenance, Scaling, Recovery and Backup, Troubleshooting, and Cost Management. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 Management: Architecting, Optimization, Monitoring, Recovery, Updating, and Merging. 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Planning, Project Requirements, Task Detailing, Developer Support and Feedback, Problem Resolution, Progress Monitoring, Qualification Testing, and Stakeholder Communication.

I am MongoDB SI certified DBA and Developer with 100% job success ratio. I have 10+ years of experience including MongoDB Atlas, Query optimisation, Index, Schema, MongoDB Cluster, DB Version Update, Sharding, replication, security, backup restore and query design.