Certified Data Engineer with over 8 years of expertise in Data Warehousing, ETL, Big Data, and Data Visualization. I have a proven record of delivering high-quality, on-time projects across industries like healthcare, e-commerce, and real estate. My broad experience and technical proficiency allow me to design tailored data solutions that align with specific business needs, helping organizations gain actionable insights and optimize operations. 🔍 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 / 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠: Skilled in designing robust Enterprise Data Warehouses (EDW) using ETL tools and databases for secure, scalable data solutions. 𝐄𝐓𝐋 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Proficient in developing reliable ETL pipelines and integrating diverse data sources for quality, consistent data flow. 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Experienced with Big Data technologies like Hadoop and cloud platforms such as GCP, Azure, and AWS, ensuring efficient, scalable data processing. 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Adept at creating impactful dashboards using tools like Tableau, Power BI, and Looker Studio, turning complex data into actionable insights. 🔧 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Vertica, MySQL, BigQuery, Redshift, IBM DB2, Neo4J, SQL Server 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Talend Open Studio, IBM InfoSphere DataStage, Pentaho, Airflow, Data Build Tool (dbt), Kafka, Spark, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Stitch, Fivetran, Howo 𝐁𝐈 𝐓𝐨𝐨𝐥𝐬:Tableau, Power BI, Looker Studio 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: SQL, Python 𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GCP, AWS, Azure, API Integration (Screaming Frog, AWR, Google Ads, Citrio Ads, Hubspot, Facebook, Apollo) and analytics tools like GA4, Google Search Console) 📚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: 𝟏. Vertica Certified Professional Essentials 9.x 𝟐. IBM DataStage V11.5.x 𝟑. Microsoft Power BI Data Analyst (PL-300) 𝟒. Vertica Certified Professional Essentials 9.x 𝟓. GCP Professional Data Engineer 𝟔. IBM DataStage V11.5.x 💡 𝐖𝐡𝐲 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐌𝐞? 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I leverage the latest in data engineering and visualization tools to ensure optimal project performance. 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐖𝐨𝐫𝐤 & 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞: Committed to delivering high-quality, dependable solutions that consistently exceed expectations and support sustainable growth. 𝐂𝐫𝐨𝐬𝐬-𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: My experience spans multiple industries, allowing me to customize solutions to fit diverse business needs. Let’s connect and explore how I can help you achieve your data goals!

I'm Huanqing Zhu, and you can call me Fusion. With over 10 years of hands-on Java development experience—including 6 years dedicated to big data processing and visualization—I’ve built my expertise by staying rooted in frontline coding, even as my responsibilities have grown. A key pillar of my technical toolkit is ‌6 years of production-grade Rust development experience‌, complemented by proficiency in Java, Scala, JavaScript, HTML5, and a full stack of big data and cloud-native technologies: Apache Spark, Hadoop, Hive, Flume, HBase, Storm, Kafka, DataX, ECharts, Docker, Kubernetes, and Linux. What sets me apart is that I’ve never stepped away from writing production code, even as I’ve taken on leadership and architectural roles: As a ‌hands-on Big Data Developer‌, I’ve built robust data ingestion utilities (including the open-source DataXServer on GitHub) and real-time page click analytics systems, directly coding pipelines to pull data from RDBMS, NoSQL databases, and file storage into production environments. As a ‌Big Data Architect‌, I’ve led platform design while still contributing core code, using Hadoop, Spark, Flink, and ElasticSearch to build scalable data infrastructure—no abstract planning here; I’ve written the critical components that power these systems. As a ‌Rust Specialist‌, my 6 years of experience spans building high-performance, low-latency systems. I’ve used Rust to optimize data processing pipelines, cut latency by up to 40% in high-throughput scenarios, and deliver systems that run 24/7 with zero critical errors. As a ‌Team Leader‌, I’ve managed full-stack teams (Java, front-end, QA, operations) while still pairing with developers on complex code reviews and contributing to high-priority features, ensuring I stay connected to the day-to-day challenges of software delivery. I also bring deep experience in microservices architecture and cloud-native containerization, and my cross-language expertise lets me bridge gaps between Java-based enterprise systems and Rust-powered high-performance components. If you’re looking for a professional who combines strategic vision with the grit to deliver production-ready code—someone who can architect a system, and write the Rust or Java code that makes it run—I’m the candidate for you. Thank you for reviewing my profile. I’m eager to discuss how my hands-on experience can add value to your team.

✓ Technology executive specializing in architecting and implementing highly scalable solutions to drive brand awareness, increase revenues, optimize productivity and improve margins. ✓ Overseeing the data, security, maintenance, and network for a company. ✓ Implementing the businesses’ technical strategy and managing the overall technology roadmap of the business. ✓ involved with talent acquisition and its onboarding, training, and management of Project Manager, product Manager, Developers, Devops, Designers. ✓ Setting the technical strategy for the company to enable it to achieve its goals. ✓ Seeking out the current and future technology that will drive the company’s success. ✓ Focus on strategic alignment of technology goals to organizational vision. ✓ Passionately committed to technology team development, empowering people to accomplish their goals and coaching them realize their individual potential. ✓ Proven track-record of success in technology product development, cloud infrastructure,Building Data Platforms, ETL Pipelines, Streaming Pipelines ,e-commerce, CRM ,mobile strategy, and social media integration. I am working from last 8 years with Apache Spark, Lucene, ElasticSeach/Kibana, Amazon EC2.RDBM's(SQL, MySQL, Aurora, PSQL, Oracle), NoSQL engines (Hadoop/HBase, Cassandra,DynamoDB, MongoDB),GraphDB(Neo4j, Neptune) in-memory databases (Hazelcast, GridGain), Apache Spark/MLib, Weka, Kafka, clustered file systems, general-purpose computing on GPU. Deploying the ML DL Models on GPU Instances(Nvidia). Have a great experience in query optimization, application profiling, and troubleshooting. My area of expertise includes: - Python script - Jira,Trello,Azure DevOps - Web scraping - AWS(Redshift, Glue, ECS, EC2, EMR, Kinesis, S3, RDS, VPC, IAM,DMS) - GCP(Big Query, DataFlow, SnowFlow) - Microsoft Azure - Hadoop Big Data - Elasticsearch/Kibana/Logtash(ELK) - Hadoop setup on standalone, Cloudera, and HortonWorks. - SQL like MySQL PostgreSQL - NoSql Database like Hbase and MongoDB - Machine learning - Deep Learning - Spark with Mlib,GraphX - Sphinx - Memcache - MS BI/Tableau/GDS

Top 1% Upwork EXPERT-VETTED Data & Solution Architect. For over 15 years, I've worked with data, focusing the last 7 years as a Data Architect on managing high-load and big-data projects. I oversee systems that serve hundreds of millions of users and manage petabytes of data, along with overseeing infrastructure budgets of over 1.5 million USD each year. In the past 8 years on Upwork, I have completed more than 100 projects with a 100% Job Success Score and a 94%+ client return rate. SERVICES ✅ Data Engineering ✅ AI/ML ✅ AI Adoption & GenAI ✅ Predictive analytics ✅ High-load Data Scraping ✅ Data Integration - seamless connection through APIs ✅ Data Management – ETL pipelines, Data Warehousing, Data Lakes, DataOps ✅ IT Infrastructure & Solution Architecture ✅ DevOps for Performance Optimization and Cost Reduction STACK & TECHNOLOGIES Core stack: Python Data Warehousing: Redshift | BigQuery | Snowflake | Teradata Data Lakes: Hadoop | Amazon S3 | Azure Data Lake Storage | Google Cloud Storage ETL Tools and Data Pipelines: Databricks Workflows | AWS Glue | Google Cloud Dataflow Big Data Processing: Spark | Hadoop | Google Dataflow | Dask | Amazon Kinesis | Kafka Databases: MySQL | PostgreSQL | Google BigQuery | MongoDB | DynamoDB | Redis Data Analysis and Machine Learning: Pandas | NumPy | Dask | SciPy | OpenCV | TensorFlow | PyTorch | Scikit-learn | XGBoost | Keras | spaCy GenAI: OpenAI GPT-3 | GPT-4 | Lama 2 | Llava | Bard | Mistral | Anthropic Visualization Tools and Libraries: Power BI | Looker | Quicksight | Grafana | Plotly | D3.js | Dash | Matplotlib DevOps and DataOps AWS | GCP | Azure | Docker | Kubernetes | Amazon ECS | Jenkins | GitLab CI/CD | GitHub CI/CD | Bitbucket Pipelines | Ansible | Terraform | CloudFormation | Prometheus | Grafana | Datadog | Zabbix | ELK Stack | Elasticsearch | Logstash | Kibana | Graylog Web Development Front-End: React.js | Redux | Redux-Saga Back-End: Python | Django Rest Framework | Flask We use the Agile approach to ensure great products delivery. As our benefits, we provide the guarantee, NDA signing, and post-service for delivered products. Want to work together? I’d love to hear from you!

🏅Expert-Vetted | 9+ years of experience | 🕛 Full Time Availability | ✅ Verifiable projects | ❇️ 17,000+ Hours 🏆 Winner of 2 Presidential Awards in the country of operations 🏆 Member of Chamber of Commerce in the country of operations 🏆 Work Recognition on TV shows and Blogs 🏆 Regularly conducts IT Bootcamps in the country of operations  Streamlining Business Operations Through Data Empowerment! 9+ years of experience | Automation Specialist | Data Driven Operations | Full Stack Web Development | Data Science | Data Management | AI/ML Implementations | Deep Learning Solutions | Process Optimization | Business Performance Enhancement 👉 Big Data: I help business owners and their teams unlock the true value of their historic data, aligning sales and marketing teams, as well as product teams with the demand and supply dynamics of both the market, and the company's product/service offerings. Big Data Tools Integration (e.g., Apache Hadoop, Apache Spark) ETL Processes Implementation (Extract, Transform, Load) Data Retention Policies Distributed Computing Hadoop Cluster Management Stream Processing Systems (e.g., Apache Kafka) NoSQL Databases (e.g., MongoDB, DynamoDB) ML Toolkits (e.g., TensorFlow) Lambda Architecture 👉 Data Science: I help build business owners and their teams robust predictive analytics systems to better align their budgeted with the actual figures at year end, thereby reducing the delta and increasing the likelihood of shareholder alignment, improving the company's going-concern assumption for the stakeholders, and thereby improving the share value in the long run. Selecting features, building and optimising classifiers using ML techniques. Data mining Data collection (Apache Kafka, Logstash) Third-Party Data Integration (e.g., APIs, Selenium, Postman) Data Integrity Verification Anomaly Detection Systems Query Language Proficiency (e.g., SQL, MySQL, MongoDB, BigQuery, PostgreSQL) Scripting Skills (e.g., Python) Statistical Analysis Effective Communication Skills 👉 Full Stack Technology: Frontend: HTML, CSS, JavaScript (ES6, ES7, Typescript), JavaScript frameworks (e.g., React, Next.js, Angular), GraphQL clients (e.g., Apollo), CSS preprocessors (e.g., SASS, LESS), JavaScript charting libraries (e.g., D3, Highcharts, Recharts), State management (e.g., Redux, Redux Saga, React Toolkit), RESTful APIs Backend: Node.js, Nest.js, Express, Python, Cloud Computing Platforms (AWS, Google Cloud, IBM Cloud) Testing frameworks (e.g., Jest, Mocha) CI/CD tools (e.g., GitHub Actions, Jenkins, AWS CodePipeline) Version control tools (e.g., Git) MERN Stack (React.js, Node.js, MongoDB, Express.js) CMS (WordPress, WooCommerce) Deployment: Docker, Heroku, AWS, Azure UI/UX Material Design, Figma, Miro, HTML5, CSS, JavaScript, XML AI and Machine Learning (AI Assistants and Chatbots, ML Models, Predictive Analytics, Sentiment Analysis, NLP, Audio/Video/Speech to Text) LLMs: GPT-4o, ChatGPT, Claude, Mistral, Perplexity. Frameworks: LangChain, RAG, Crew AI, Vercel AI SDK. Vector databases: Qdrant, Pinecone, Milvus. APIs: Open AI, Azure AI Search, Eleven Labs, Whisper/DeepGram Data Visualisation (Power BI, Tableau) Driven by a passion for innovation and backed by a strong foundation in cutting-edge technologies, I'm committed to propelling your business towards unparalleled success. Let's harness the power of tech to revolutionize your operations! 💡

☑️ 14+ Years Professional Experience ☑️ US Client Specialty ☑️ <10 Minute Client Message Response Times ☑️ Outstanding Pro-Active Communication ☑️ 4,600+ Hours Delivered, Maintaining a 100% Job Success Score ☑️ Extensive Experience In: Software - SaaS - eCommerce - Finance ☑️ Worked with Netskope & RSAC ☑️ On Time Every Time ☑️ Long-Term Partnership Mindset 📞 𝗜𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝗼𝗿 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗱𝗶𝗿𝗲𝗰𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗯𝗼𝗼𝗸 𝗮 𝗰𝗼𝗺𝗽𝗹𝗶𝗺𝗲𝗻𝘁𝗮𝗿𝘆 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝗰𝗮𝗹𝗹 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿. ❝ Michael and the DSC team is absolute gold! I cannot speak highly enough of their data insights and software development capabilities, which based on my experience, are second to none! I have served as a product strategy and development leader for a number of major brands, including Starbucks, Microsoft, Wells Fargo and more. Furthermore, I have worked with many talented Power BI, data analytics and software development colleagues, consultants and third party providers. I have never found a more capable team to deliver best-in-class solutions for any data related initiative - simple or complex. ❞ 🗣 Bryan Guy - CEO - Databillity — Hi! I’m Michael. I specialize in supporting US-based clients with exceptional data engineering, data architecture and advanced analytics solutions. I’m the leader of a team of 10 hand-picked Canadian data scientists and data engineers. When you work with me, you work with an industry-leading team of native-English experts. Together, we create outcomes impossible to do individually. The main outcomes I consistently create with my clients are enabling them to make higher-quality business decisions with reliable data, all while reducing manual work and leveraging automation for their entire team. I offer end-to-end solutions. I take responsibility for every step of your data journey. This includes building automated data pipelines that pull information directly from systems like your CRM, ERP, and financial platforms. Your data can then be centralized in a cloud-based data warehouse, creating a single reliable source of data serving as a stable foundation for analysis and reporting. From there, we can work together to determine what matters for your business to track with earnestly helpful reporting dashboards. Your KPI’s and the data you need to make meaningful decisions are communicated clearly in accessible reporting that you and your team will actually use. — One example of a recent successful data engineering project was: Data ingestion and analytics with an American IT security company. Ingesting data from Salesforce (Opps, Leads, Contacts, Campaigns etc.) into Snowflake using Fivetran. Building a metadata layer in Looker using LookML code, and creating dashboards to track key metrics such as ARR and MRR. Overseeing the rollout of dbt, a data transformation platform, used as an intermediary data transformation step between Snowflake and Looker. — Data sources I often work with include: 🔷 CRM & Sales Systems - Salesforce - HubSpot - Proprietary CRM Systems 🔷 Marketing & Analytics Platforms - Google Analytics - Google Tag Manager - Facebook Ads - Marketing Attribution Platforms 🔷 Financial & Payment Systems - Stripe - QuickBooks - ERP Systems - Financial Reporting Tools 🔷 Product & Application Data - Web Apps - Internal Databases - Event Tracking Systems - Custom Application Data 🔷 Cloud & Data Infrastructure - Google BigQuery - Snowflake - Azure-Hosted Data Environments 🔷 Custom & API Integrations - REST APIs - Webhook-Based Systems - Custom Data Pipelines From Internal Tools — Data architect and data engineering services I commonly support my clients with includes: 🔸 Specialties: Snowflake - dbt - Microsoft Power BI - Tableau - Looker Studio 🔸 Data Modeling - Data Architecture - Data Engineering 🔸 Reporting - Custom Dashboards - Data Visualization 🔸 Data Warehouse Projects - Data Migrations - Data Transformation - Data Ingestion 🔸 Business Intelligence Projects 🔸 Microsoft Azure - Azure Hosted Data - Azure Hosted Analytics 🔸 Data Engineering Projects 🔸 Automated Testing 🔸 Fivetran - Data Integration Platform Projects 🔸 Airbyte Data Monitoring Tool - Custom Connections Built With: QuickBooks - Microsoft Dynamics - Leadspedia - Everflow - Proprietary CRM systems 🔸 Custom Python Scripts - Custom SQL 🔸 LookML - Amazon Quicksight - Holistics BI - Lightdash - Google BigQuery - Sigma Computing 📞 𝗜𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝗼𝗿 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗱𝗶𝗿𝗲𝗰𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗯𝗼𝗼𝗸 𝗮 𝗰𝗼𝗺𝗽𝗹𝗶𝗺𝗲𝗻𝘁𝗮𝗿𝘆 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 𝗰𝗮𝗹𝗹 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿. Thank you for learning about how I can support you with your data architect and data engineering project. Michael Nandlall

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.

Innovative, passionate, and quick software developer and architect with deep knowledge of programming concepts and internals. 24+ years of hands-on industry experience in programming, designing, managing, & leading software projects & companies. Change agent, problem solver with a passion for technology; skilled in grasping the big picture, conceptualizing, developing & implementing solutions by partnering closely with business leaders. Worked for different type of industries, which includes Health-care Informatics, Lab Informatics, MOOC, Online Education, ERPs, Electronic Design Automation (EDA), Semi Conductor, Heavy mechanical manufacturing, Travel, Pharmaceutical & e-commerce. Skilled in: AI Agents | AI Voice Agents | AI Automation | AI Solutions | Specialized Local Custom AI Models Python | PHP | Apex | Objective C | Java | C/C++ | Flex | ActionScript | JavaScript | Perl | VB6 iPhone SDK | Android SDK | BlackBerry SDK | Flex SDK | Sancha Django | Django REST | Odoo | Web2Py | Zope | Plone | Open edX | CodeIgniter | .NET | Java EE SQL Server | MySQL | PostgreSQL | Sybase | DB2 | SQLite | MS Access Odoo | OpenERP | Salesforce CRM | MS SharePoint git | SVN | CVS | VSS | Unfuddle Scrum | UP | UML | CASE Tools | Poseidon | Rambaugh OMT ASP.NET | ASP | Telerik Visual C++| MFC | Win32 | COM | DCOM | OLE | Multithreading ANT | JDK | Digester| Struts | Servlets | JSP | EJB | WebSphere | Eclipse Web 2.0 | AJAX | CSS | XML | XSD OpenSource | github Knowledge Management | MediaWiki | PHP Health-care Informatics | ICD9 | ICD10 | HIPPA | HL7 SEMI Standards | EFEM | SEMI E87 | SEMI E90 | SEMI E40 | Robotics | SECS/GEM | SCADA Customs ERP | Landing Cost | HS Codes | WTO Standards Lab Informatics | Bika | OLiMS | LiMS | LIS Windows | MacOS | Linux | Ubuntu | Unix | EC2 Windows CE | Micro Controller Programming | Dynamic C

A working demo and a system that survives production are two very different things. I build the second kind. Over a decade of backend engineering and 70+ completed projects on Upwork. I run Datum Brain, a software and AI engineering company, so you get one senior engineer accountable end to end, with a team behind him when the work needs it. We ship Go microservices, data pipelines, and LLM systems for FinTech, SaaS, EdTech, and AdTech clients. Recent work: 🛡 Real-time ad fraud detection (TrueAudience) High-concurrency Go backend that scores ad traffic to catch bots before advertisers pay. 80M+ events, under 20ms decisions. Go, TimescaleDB, real-time pipelines. 🏦 Go microservices for an EMI and payments platform (Zolvat) Ledger logic, payment flows, and service orchestration for an installment payments platform. Go, microservices, PostgreSQL. 🎥 WebRTC proctoring infrastructure (Meazure / Examity) Real-time media and session orchestration for thousands of concurrent exam sessions at one of the largest US proctoring providers. Go, WebRTC, LiveKit, NATS. 📊 Big data pipeline optimization (Nike) Cut processing time and compute cost on large PySpark workloads. PySpark, AWS. 📄 Document intelligence platform (Centrum AI) OCR and RAG pipeline that turns unstructured documents into structured, queryable data with human review. Python, FastAPI, LangChain, RAG. What I work with: Backend: Go, Python, FastAPI, gRPC, REST, PostgreSQL, TimescaleDB, Redis, NATS, Kafka Data: PySpark, ETL pipelines, data quality frameworks, AWS, GCP Real-time: WebRTC, LiveKit, event streaming, high-concurrency systems AI and LLM: LangChain, LangGraph, RAG, multi-agent systems, OpenAI, Claude, evals Infra: Docker, Kubernetes, CI/CD, nginx How I work: I scope before I quote, so you know what you are getting and when. I flag risks early instead of at the deadline. Production-ready means tested, documented, monitored, and handed over properly. Good fit if you need something that runs in production and not a proof of concept, you want one senior engineer accountable end to end, and you value clear communication and honest scoping. Not a fit if you are shopping purely on hourly rate, or the spec changes daily and nobody owns decisions. If your backend needs to handle real load, or your data or AI work needs to go from demo to product, send me a message.

WE ALWAYS CONSIDER OUR CLIENTS AS OUR PARTNER Upwork Stats: More than $100K Revenue, 100% Completion ratio, 100% Job Success Ratio, and more than 100s of satisfied customers. Shaligram Infotech is a Microsoft Gold Partner for Dynamics CRM / Dynamics 365 CE. We provide solutions for all kinds of Software development, Web development, and Mobile app development using different technologies Microsoft MCSD certified developers. We specialize in Dynamics 365 CRM for Sales, Field Services, Marketing, and Customer services. We have a grade of skills on .Net, Azure, Power BI,and other latest Microsoft technologies. We have an equally competent team specializing in Full Stack Development on MEAN & Microsoft Stack. Expert In Azure Services, Azure ADFS, Azure Blob Storage, Azure Performance Testing, Amazon EC2 & S3 Setup. ✅ Our expertise includes: ◆ Software Development & Maintenance services ◆ ERP Software development and maintenance ◆ Web & Mobile Apps Development ◆ Microsoft Dynamics CRM, NAV, Business Central, AX, ERP, etc ◆ ASP.NET website development & performance optimization ◆ API Integration Social media (Facebook, LinkedIn, Twitter), Google APIs, Google Maps ◆ The Second Payments Services Directive (PSD2), Strong Customer Authentication (SCA), 3-D Secure (3DS) Expert ◆ MEAN and MERN Stack ◆Testing-QA I am hopeful that I can provide you with the best solution at a reasonable time and price. Looking forward to working with you. Best Reagrds, Ramesh.M