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

I’m passionate about combining Data Engineering, AI & Dashboards Design Science to help people make great decisions. Through thoughtful design, including UI & UX, and precise data analysis, I connect how data looks with how it works. With over six years of experience in behavioral data analysis and storytelling, I’ve consistently delivered impactful solutions. Recently, I’ve received over 50 ⭐️⭐️⭐️⭐️⭐️ ratings for my work in data visualization. My expertise is in Data Engineering, Analysis, Visualization, Storytelling, and Infographics. I focus on promoting a data-driven culture in companies around the world by upholding the principles of Graphical Excellence, as championed by Tufte. My motto is - data never lies. 🤘 SORRY FOR THE LONG TEXT BELOW, BUT I NEED THIS SECTION OF MY PROFILE TO HELP ME STAND OUT ON UPWORK. ✌️😃🤷‍♂️ Here's a list of my preferred tools, categorized by their respective functions: Dashboarding: Power BI ( including pbiviz), powerbi Looker, Looker BI, Looker Enterprise, Looker Pro, Google Data Studio, Looker Data Studio, Tableau, ThoughtSpot (Thought Spot), Metabase, Domo Dashboards (domo com), Superset Apache, Plotly, Plotly Dash, Plotly Dash Enterprise, Dash Enterprise, D3.js, Aesthetic dashboards TOP Niche Expertise: Ecommerce: shopify, bigcommerce Construction (buildertrend, builder trend) Hyros, triple whale Stripe, Rebilly, Chargebee GA4 (Google Analytics 4), Bullhorn, Sage, Microsoft Dynamics CRM (BI graphs), Exact com/ Exact ERP, Multi-Tenant BI Solution / Multi-Tenant Dashboards, AI ( Artificial Intelligence, A.I.). Data Warehousing: Google BigQuery, Amazon Redshift, Redshift Snowflake, Microsoft Azure Synapse Analytics, Data Modeling: dbt (Data Build Tool), SQL Server Data Tools (SSDT), Python. Additional tags: SSRS report, Data Analysis Expressions (DAX), Revenue Operations, Microsoft Azure SQL Server, web3, business intelligence, Software as a service (SaaS), Microsoft Graph API, coaching, data science, Microsoft Power BI, Looker Studio, Excel, Tableau Alteryx, Inc.Database, Data Analysis, Google Analytics, Dashboard, Data Analysis, A/B Testing, Data Visualization, Google Analytics, Marketing Analytics, Analytics, API Integration, JavaScript, Tableau, Microsoft Excel, Python, Data Analysis, Data Science, Statistics, Business Intelligence, PowerBI, Training & Development, API integration, Customer Relationship Management (CRm), CRM, Zoho CRM, API Integration Digital Mapping, AnyLogic, Looker Studio, Data Visualization, App Store, BigQuery, Marketing Analytics, Ad analytics, CRM, prometheus io, Microsoft Graph API, SAP, SAP Analytics, sap analytics cloud, Oracle BI, multi-tenant, multi-tenant Dashboards, multi-tenancy, Microsoft Power Apps, Power Query, LookML, IBM Cognos Analytics, SaaS, SEMrush, Python, Supermetrics, NetSuite, Oracle NetSuite, Qlik Sense, QlikView, Gaming, Behavioral analytics, events analytics, ETL Pipeline, quantitative analyst, quantitative analytics, Bullhorn, pbiviz, LMS, MicroStrategy, Micro Strategy, construction, eNPS, NPS, green energy, Excel, Hadoop, Thoughtspot, AI, artificial intelligence, KPIs, data science, behavior, Spark, Hadoop, Python, Zoho, Problem-Solving Abilities, Strong analytical skills, NetSuite, NS, Sisense, Cognos, Power apps, Powerapps, Amazon Quicksight, QuickSight, IBM Z platform, Cognos, DB2, Luzmo, CRMA, CRMA Analytics Salesforce, Holistics io, Holistic io, Loki, Prometheus, BI meta-data management, Microsoft Power BI Data Visualization, Oracle, Sigma, Sigma Computing, US, USA, PL/SQL, Oracle PL/SQL, dbt, looker ML, construction, Archdesk, Archdesk ERP, Apache Airflow, Flask, Django, Docker, Apache Spark, SAP Crystal Reports, Open AI, ChatGPT, Chat GPT, AWS, Claude, Bedrock, Paycor, BambooHR, Workday, Zenefits, ClickUp, AI, Artificial intelligence, ClickHouse, Click House, ROAS, ROMI, Domo, Gooddata, Good Data, Omni, Omni Analytics, Oracle Hyperion, power bi embedded, embedded analytics, databox, Row Zero, local LLM deployment, LLM (large language model), filevine, data lake, data warehouse, hubspot, Knowi, Fivetran, Airbyte, CDP, Bayesian Analysis, Predictive Analytics, Dremio, Apache Ozone, Looker Core, Copilot, Tibco Spotfire, React, AI/LLM, charts io, PostgreSQL, React.js, AI-driven, Python, healthcare, gooddata, good data, NetSuite Commerce, NetSuite, Domo, OpenAI, power apps, Interactive Data Visualization, Data Visualization Framework, looker ml, observable, UX/UI design, Xero, QuickBooks, Intuit, Sage, RevOps, revenue operations, Power BI, Microsoft Power BI, Tableau, google analytics, GA4, looker studio, shopify, triple whale, Buildertrend, Go High Level, GoHighLevel, dashboards design, ThoughtSpot, SaaS, Spotfire, Power BI Report Server, flourish, copiliot studio, Palantir, Palantir Foundry, Palantir Gotham, Palantir Apollo, Workday Adaptive Planning, Snowflake Native App, revops, australia, Forward Deployed Engineer (FDE), AI automation

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!

I build the data infrastructure that makes LLMs actually work in production, RAG pipelines, vector search, and AI agents that don't hallucinate on your company's real data. Before AI, I spent 8 years as a Data Engineer building pipelines with [Python/SQL/Spark/Airflow/dbt, your actual stack]. That background is exactly why my AI systems don't fall apart at scale: I know how to move, clean, and structure data before an LLM ever touches it, which is where most "AI integrations" quietly fail. What I do: → Design and build RAG systems (retrieval-augmented generation) using Pinecone/Weaviate/pgvector/Chroma → Build production LLM pipelines with [LangChain/LlamaIndex/OpenAI API/Anthropic API] → Design embedding pipelines and vector databases that scale past prototype stage → Build AI agents and chatbots that connect to real business data, not toy demos → Handle the "boring" parts most AI freelancers skip: chunking strategy, latency, cost optimization, evaluation Recent results: ✅ "Cut RAG query latency by 60% on a 10M-vector index" ✅ "Built a support chatbot that reduced response time from 4 hrs to 90 seconds" ✅ "Migrated a client's AI prototype into a production pipeline handling 50K docs" I work best with: - Startups building their first AI product who need it to actually ship - Companies with an existing data stack who want to layer LLM capability on top - Teams whose "AI feature" broke in production and need someone who understands both data and models If your project involves LLMs touching real company data not just prompt-tweaking, let's talk. Send me your use case and current stack, and I'll tell you honestly whether RAG is even the right approach for it.

🏅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

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

Your cloud bill is not a fixed cost. It's an engineering problem - and I solve it. Most companies overpay AWS or GCP by 30-70%. The money is hiding in untagged resources, oversized nodes, idle NAT gateways, and architectures that were designed to work - not to scale economically. I find it, I fix it, and I deliver measurable ROI within the first 30 days. With $900K+ earned on Upwork, 100% Job Success Score, and 19+ years as a CTO and Cloud Architect, I bridge Engineering and Finance - translating infrastructure complexity into business impact your CFO can read. Typical Problems I Solve → AWS or GCP costs are too high and growing month over month → No visibility into what's driving cloud spend → Need a cloud infrastructure audit before scaling → AI workloads are expensive and unpredictable to run → Compliance requirements (SOC 2, GDPR, HIPAA) creating engineering debt → Architecture needs redesign for cost-efficiency before next funding round Proven Client Results ▪️ Shoebacca (Large US E-commerce) → Challenge: AWS costs exceeded budget by 40%, with no tagging, no FinOps governance, and no cost visibility. → Solution: EKS rightsizing, NAT/ALB/EBS audit, serverless Lambda migration, full FinOps governance with cost allocation tags. → Business Impact: $264,000 annual savings - AWS costs cut by 75% in one week. ▪️ US Influence Platform → Challenge: Monthly AWS bill uncontrolled, infrastructure unaudited, site latency degrading. → Solution: Infrastructure audit + Terraform migration + reserved instance strategy. → Business Impact: Monthly AWS bill reduced by 50%. Site latency improved as a bonus. ▪️ ChilliSauce (UK Event Agency) → Challenge: AWS ECS/Fargate costs growing with no optimization strategy. → Solution: Continuous FinOps management, ECS rightsizing, Fargate cost controls. → Business Impact: 30% cost reduction maintained continuously. ▪️ Datos Health (Israeli HealthTech) → Challenge: No monitoring or alerting on GCP infrastructure - production issues discovered by users. → Solution: Monitoring and alerting built from scratch with Prometheus and Grafana on GCP. → Business Impact: Zero production blind spots. Engineering team now detects issues before users do. Core Delivery Areas → Forensic Cloud Cost Audits - identify immediate 20%+ savings before writing a single line of IaC → FinOps in CI/CD - cost guardrails embedded directly in your deployment pipeline, not managed by your finance team → AI workload cost optimization - GPU orchestration, vector database cost management, LLM infrastructure efficiency → Spot/Reserved Instance Strategy & Orchestration → Serverless architectural redesign (Lambda, ECS/Fargate) for cost-efficient scaling → DevSecOps: SOC 2, GDPR, HIPAA compliance, Zero Trust architecture, IAM hardening Stack: AWS (EKS, Lambda, EC2, S3, RDS, CloudFront) · GCP · Terraform · Kubernetes · Docker · GitHub Actions · ArgoCD · Prometheus · Grafana · Datadog · Apache Kafka · PostgreSQL · AI workloads Available during US business hours (EST/PST overlap). Cloud cost optimization is the highest-ROI DevOps investment in 2026. Send an invite - I'll show you exactly where your cloud budget is leaking.

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 am a UK-based Senior Accountant and part-owner of a CIMA-regulated practice based in Bristol, providing compliant, commercially focused accounting and tax services to a portfolio of ~120 clients. Our practice delivers a full-service offering, including bookkeeping, VAT, payroll, statutory accounts, and tax optimisation (including capital allowances and allowable expense planning). We are Xero Advisor Certified and have over a decade of hands-on experience supporting owner-managed businesses across a range of sectors. What differentiates my work is the combination of regulated accountancy with advanced financial modelling and automation expertise. Since 2005, I have specialised in building automated financial models, reporting systems, and process-driven solutions using Excel/VBA, SQL, Python, and Google Apps Script. This allows us to go beyond standard compliance work—helping clients improve reporting speed, reduce manual errors, and make better financial decisions. I also lead on higher-value engagements including: - R&D Tax Credit claims - SEIS/EIS fundraising support - Bespoke financial forecasting and modelling In 2009, I developed an ICAEW-accredited financial forecasting platform designed to rapidly build integrated financial models. This reflects my broader approach: combining technical capability with accounting expertise to deliver solutions that are both compliant and commercially effective. Alongside practice work, I continue to support clients with bespoke modelling and automation projects across sectors, including construction & property, healthcare, FMCG, and financial services. I maintain a consistently high client satisfaction record by focusing on practical delivery, responsiveness, and long-term usability, ensuring clients receive support that extends beyond year-end compliance. I aim to ensure every client receives 5-star treatment, from project conception through to post-delivery support.