Lead data engineer with product analytics and data science background, having worked with Fortune 500 companies (Procter & Gamble, Merck, Anheuser-Busch), as well as top-notch data-driven startups. Skilled in translating complex business problems into data solutions, designing data pipelines, providing high-quality data for data-driven insights and decision-making, as well as building KPIs, conducting statistical analyses, and creating impactful visualizations. Problems I'm good at solving: • Data Warehousing and Analytics • ETL / ELT data pipelines • SQL query tuning • Data Modeling and Database Design • Reporting • Data Analysis • Data Cleaning, Pre-Processing • Data Visualization • NLP problems I have a bachelor's in engineering from the top LATAM university (Universidade de São Paulo) with a track record of supporting organizations across various industries, including remote hiring, real estate, and consumer goods. Skills and Expertise ✅ SQL ✅ Python Databases ✅ Snowflake ✅ Redshift ✅ BigQuery ✅ Athena ✅ Trino ✅ Postgres ✅ MySQL Big Data Cloud Technologies ✅ Amazon Web Services – AWS Certified (Redshift, Athena, S3, Lambda, Glue ...) ✅ Google Cloud Platform Other Data Engineering Tools ✅ dbt ✅ Airflow ✅ Fivetran ✅ Git, Gitlab, and Github ✅ Rundeck ✅ Docker Data Visualization ✅ Looker (LookML Expert) ✅ PowerBI ✅ Metabase ✅ Looker Studio (Data Studio) ✅ Sigma ✅ Hex Data Science and Machine Learning ✅ Sci-kit learn, pandas, etc ✅ NLP analysis ✅ Spark ✅ Databricks ✅ Hex ✅ Jupyter Notebooks User Behavioral Analytics ✅ Snowplow ✅ Indicative ✅ Heap ✅ Amplitude ✅ Google Analytics

Senior Data Engineer & BI Architect | Power BI, Snowflake, Data Platforms | Founder @ Datavision 🚀 Senior Data Engineer & BI Architect I operate under my consulting brand Datavision, focused on building scalable data platforms and high-performance BI solutions. I help companies transform complex data into scalable, production-ready analytics platforms. With 12+ years of experience across retail, industrial, and enterprise environments, I design and optimize modern data stacks using: • Snowflake • Databricks • dbt (modular & incremental modeling) • Airflow (orchestration) • Azure Data Factory • Power BI & Semantic Models 🔹 I specialize in medallion architectures (Raw → Silver → Gold) 🔹 I build production-grade ETL/ELT pipelines 🔹 I optimize performance & cost in cloud data platforms 🔹 I implement CI/CD for analytics workflows Recently worked with large European companies delivering scalable cloud data platforms and business-critical dashboards. If you need: ✔ A clean, scalable data architecture ✔ Optimization of slow pipelines ✔ A robust BI layer built properly ✔ Governance & best practices Let’s build it the right way.

I architect, build, and implement AI systems that turn business data into decisions — conversational analytics, predictive ML models, and autonomous AI agents that automate real workflows. Backed by 16+ years and 400+ delivered projects, I bridge the gap most AI freelancers can't: I don't just prototype models, I design the end-to-end solution and engineer the data foundation, pipelines, and cloud architecture that make AI production-ready, secure, and scalable. I work as a true solution partner — architecting, executing, and implementing around each client's custom business use case, timeline, and budget. From a single AI agent to a full data-and-AI platform, I right-size the solution so you get maximum value without overspending. WHAT I DELIVER • Conversational AI & "Chat with your data" — Ask questions in plain English and get instant answers, trends, and forecasts from your CRM, sales, finance, HR, and ops data. Built on Vertex AI, Gemini Pro, LLMs, and BigQuery ML with retrieval-augmented generation (RAG) over vector databases (pgvector, Vertex AI Vector Search). • Agentic AI & Process Automation — Autonomous, multi-step AI agents that complete tasks, not just chat. I design and ship end-to-end automations with n8n and Make, integrating LLMs directly into your business processes for measurable efficiency gains. • Predictive Analytics & Custom ML — Forecasting, churn prediction, classification, and anomaly detection using BigQuery ML and Python (TensorFlow, PyTorch, scikit-learn, XGBoost). • Solution Architecture & Implementation — End-to-end ownership: discovery, architecture, build, deployment, and handover — tailored to your use case and budget, with scalability, security, and compliance designed in from day one. GEN AI & MACHINE LEARNING • Vertex AI (Gemini Pro / Flash), BigQuery ML, Vertex AI Agent Builder & RAG pipelines • LLM integration, prompt & context engineering, embeddings & semantic search • Vector databases: pgvector (PostgreSQL), Vertex AI Vector Search • Conversational AI, AI chatbots & assistants grounded in your own knowledge • Agentic workflows and AI-driven automation with n8n and Make (Integromat) • Custom ML model training & deployment: TensorFlow, PyTorch, scikit-learn, XGBoost, Pandas, NumPy — for forecasting, recommendation, churn, and anomaly detection • MLOps: model training, evaluation, monitoring, and lifecycle management DATA ENGINEERING & WAREHOUSING (the foundation that makes AI work) • ETL/ELT: Dataflow, Datastream, Dataproc, Cloud Functions (Python/Node.js), dbt, AWS Glue, SSIS, Airbyte, Fivetran • Real-time & batch ingestion: Google/Facebook Ads, GA4, Search Console, Salesforce, REST APIs, JSON/CSV, SQL & NoSQL databases • Warehousing & modeling: BigQuery, Snowflake, Redshift, Azure Synapse, SQL Server, Oracle — star/snowflake schemas, partitioning, clustering, and performance tuning • Databases: PostgreSQL (pgvector), MySQL, MongoDB, MariaDB, Oracle, SQL Server, AWS RDS — deployments, upgrades, and zero-downtime migrations BI & ANALYTICS • Executive-ready, AI-augmented dashboards in Looker Studio, Power BI, Tableau, Looker, QuickSight — KPIs for Marketing, Sales, Finance, HRMS, Operations & CRM CLOUD & GOVERNANCE • Multi-cloud: GCP (primary), AWS, Azure • Secure, scalable architectures: IAM, RBAC, row-level security, VPCs, encryption • Data governance & compliance: access/change management, classification, auditing, GDPR PROVEN TRACK RECORD • 16+ years experience • 400+ successful projects • 50+ data warehouses • 200+ pipelines & dashboards • 30+ zero-downtime migrations • 50+ business-application implementations (CRM, ERP, HRMS, Finance, Supply Chain, SIS/LMS, EHR, Banking, Hospitality) WHY CLIENTS CHOOSE ME I combine a business mindset with deep technical excellence. I architect the right solution for your goals and budget — not the trendiest — and own the full lifecycle from raw data to AI-driven insight and automation. You get solutions that ship on time, within scope, and built to last. Tell me the outcome you're after — a conversational analytics assistant, an AI agent that automates a workflow, or a predictive model — and I'll architect the fastest path to value. Skills tags (order matters — AI first) Generative AI · Vertex AI · Gemini · LLM · Conversational AI · RAG · Vector Database · Machine Learning · BigQuery · n8n · Make · Python · TensorFlow · Solution Architecture · Data Engineering

I help businesses 𝐭𝐮𝐫𝐧 𝐜𝐨𝐦𝐩𝐥𝐞𝐱, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, and real-time analytics systems that eliminate manual reporting and enable faster, smarter decision-making. I specialize in building 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐮𝐬𝐢𝐧𝐠 𝐀𝐖𝐒, 𝐁𝐢𝐠𝐐𝐮𝐞𝐫𝐲, 𝐒𝐐𝐋, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐚𝐧𝐝 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, helping companies move from fragmented data systems to fully automated data ecosystems. With 7+ years of experience in 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, I design and implement scalable, cloud-based data solutions including data pipelines, data warehouses, reporting systems, and workflow automation architectures. I have successfully delivered 250+ projects for startups, SMEs, and enterprise clients across industries such as finance, SaaS, e-commerce, healthcare, logistics, and operations, consistently improving reporting speed, data accuracy, and business visibility. Whether you need automated dashboards, cloud data pipelines, data warehouse solutions, or reporting systems, I can help you build a reliable and scalable data infrastructure that supports better decision-making. 📌𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 𝐈 𝐎𝐅𝐅𝐄𝐑 📊 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 & 𝐁𝐈 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ◼Executive & KPI dashboards (Finance, Sales, Operations) ◼Advanced DAX calculations & Power Query (M) ◼Row-Level Security (RLS) ◼Data modeling (Star & Snowflake schema) ◼Automated reporting systems ⚙️ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 ◼ETL/ELT pipelines using Python, SQL, PySpark ◼API & multi-source data integration ◼Data transformation workflows (dbt) ◼Data validation & quality frameworks ◼Performance optimization ☁️ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 ◼AWS (S3, Glue, Redshift, Lambda) ◼Google BigQuery ◼Snowflake & Databricks ◼Azure Data Factory ◼Data warehouse design & migration 📈 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭 ◼50–70% reduction in manual reporting effort ◼Real-time dashboards for leadership decisions ◼Scalable and secure data architecture ◼Single source of truth across all systems ◼Faster, data-driven decision making 🛠 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 Power BI | SQL | Python | PySpark | AWS | BigQuery | Snowflake | Azure Data Factory | Databricks | dbt | ETL Pipelines | Data Warehousing | API Integration | Data Modeling | DAX | Power Query 🤝 𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡: ✔Startups scaling their data systems ✔SMEs needing automated reporting ✔Enterprises modernizing legacy data pipelines ✔Teams struggling with messy spreadsheets or disconnected data 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 I focus on building production-grade data systems that are scalable, automated, secure, and easy to maintain. My goal is not just to create dashboards, but to help businesses make faster, smarter, and data-driven decisions with confidence. 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐨𝐫 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐡𝐨 𝐜𝐚𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, 𝐬𝐞𝐧𝐝 𝐦𝐞 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬.

☑️ 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

👋 Hi there, Businesses do not struggle because they lack data. They struggle because their data is scattered, unreliable, or difficult to turn into decisions. I help organizations build scalable data solutions that transform raw data into trusted insights for reporting, analytics, and business growth. Over the past 3+ years, I have worked across healthcare, real estate, marketing, finance, and technology sectors, designing data pipelines, developing reporting solutions, improving data quality, and enabling stakeholders to make faster, data-driven decisions. 🔑 What I Can Help You With 📈 Data Analytics & Business Intelligence • Power BI, Looker Studio, Tableau • KPI dashboards and executive reporting • Financial, operational, and performance analytics • Data storytelling and decision support ⚙️ Data Engineering • End-to-end ETL/ELT pipeline development • Apache Airflow, dbt, BigQuery, Redshift • Data transformation, modeling, and automation • API integrations and data ingestion workflows 🛡️ Data Governance & Quality • Data validation and reconciliation • Data quality monitoring and reporting • Documentation, data dictionaries, and governance practices • Standardized reporting and data management processes 💡 Recent Results ✔ Reduced reporting time by 40% through automation of executive reporting workflows. ✔ Improved data pipeline performance by 25% through ETL optimization and process redesign. ✔ Built Power BI dashboards that increased reporting efficiency and improved visibility into operational and financial performance. ✔ Developed healthcare and financial analytics solutions that transformed complex datasets into actionable insights for stakeholders. ✔ Designed scalable cloud-based data pipelines using BigQuery, Airflow, dbt, and Python for analytics and reporting. 🛠️ Technical Expertise SQL | Python | Power BI | Looker Studio | Tableau | Apache Airflow | dbt | BigQuery | Snowflake | PostgreSQL | MySQL | AWS | Azure | GCP | Excel | Data Modeling | ETL/ELT | Data Governance | Reltio | Collate | Snowflake Horizon 🌟 What Clients Appreciate About Working With Me • Results First – I focus on solving business problems, not just building technical solutions. • Clear Communication – I work effectively with both technical and non-technical stakeholders. • Ownership & Reliability – I take responsibility for projects and deliver well-documented, dependable solutions. • Long-Term Value – I build scalable systems that continue creating value long after delivery. 📩 If you need help building data pipelines, improving reporting, creating dashboards, or establishing reliable data processes, I would be happy to discuss your project.

"Working with a skilled freelancer can be pivotal for the success of technical projects, especially those involving complex data engineering tasks. Your expertise in Apache Airflow, GCP, BigQuery, and dbt was evident as you swiftly identified and resolved critical bugs in our data pipeline." - Mike "Your expertise in SQL, Google Analytics and Looker has been crucial in visualizing large datasets and designing insightful dashboards. Your approach to data validation and integration of multiple sources has greatly enhanced our data-driven decision-making process. Thank you!" - Rufus 𝐇𝐢, 𝐈’𝐦 𝐚 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫/𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐰𝐢𝐭𝐡 𝟕+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞. I build efficient data pipelines and scalable solutions to turn raw data into actionable insights. My expertise covers ETL, database optimization, and data warehousing—always with a focus on solving problems creatively. - 𝗪𝗵𝗮𝘁 𝗜 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵: 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, SQL 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮: Snowflake, Google BigQuery 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MySQL, PostgreSQL, MongoDB 𝗘𝗧𝗟 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Apache Airflow, Dagster, DBT 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Tableau, Power BI, Looker Studio 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀: OpenAI, ChatGPT, Prompt Engineering - 𝗛𝗼𝘄 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽: 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Build reliable ETL workflows for data lakes/warehouses. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Improve performance, security, and schema design. 𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Design scalable infrastructure for your needs. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Develop streaming pipelines for instant insights. 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 & 𝗥𝗲𝗽𝗼𝗿𝘁𝘀: Create clear visualizations for better decisions. 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲! Reach out if you need data solutions. 𝐓𝐡𝐚𝐧𝐤𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐭𝐢𝐦𝐞! - Mahfoudh H -

I am a skilled Data Engineer and Analyst with expertise in developing scalable data pipelines, designing efficient data architectures, and creating insightful dashboards. I specialize in data integration, transformation, and analytics, delivering optimized solutions that align with business objectives 🏆 Senior Data Analyst | 9+ Years of Experience 📊 Data Visualization Expert: Power BI, Tableau, Google Looker 🛠️ Data Engineer & Architect: ETL (AWS Glue, Azure Data Factory), SQL (T-SQL, MySQL, PostgreSQL, APIs), Data Warehousing (Snowflake, Redshift, BigQuery) 💻 Data Analysis & Modeling: Python (Pandas, SciPy), R, Predictive Modeling (Customer Churn, Sales Forecasts) Expertise & Skills 🛠️ Data Architecture & Engineering ● SQL Mastery: Skilled in writing optimized queries for extracting and manipulating data across databases (T-SQL, MySQL, PostgreSQL) and APIs. Proficient in joins, subqueries, window functions, and stored procedures. ● ETL & Data Pipelines: Extensive experience in data extraction (web scraping, API integration, database connectors), transformation (data mapping, filtering, aggregation), and loading (bulk inserts, staging tables). Strong background in cloud-based ETL platforms like AWS Glue and Azure Data Factory. ● Workflow Automation: Hands-on experience with workflow management tools like Airflow, Snowflake Tasks and Luigi, managing pipeline scheduling, dependencies, and data flow monitoring. ● Data Warehousing: Deep understanding of best practices in dimensional modeling and normalization. Experienced with Snowflake, Redshift, and BigQuery. 🛠️ Data Cleaning & Wrangling ● SQL-Driven Data Cleaning: Expertise in handling missing values, filtering anomalies, type conversion, and standardization. ● Data Quality & Profiling: Proficient in tools like Pandas Profiling, OpenRefine, and Trifacta Wrangler for data statistics, anomaly detection, and distribution analysis. 🛠️ Data Analysis & Modeling ● Statistical Analysis: Strong background in R and Python libraries (NumPy, Pandas, SciPy, PyTorch) for hypothesis testing, regression, and time series analysis. ● Predictive Modeling: Experience building machine learning models (decision trees, regression) for use cases like customer churn prediction and sales forecasting. ● SQL-Driven Data Exploration: Skilled in uncovering patterns and trends through direct SQL analysis, driving insights for visualization and decision-making. 🛠️ Cloud Platform Expertise: ● AWS: Advanced knowledge of Lambda, Glue, S3, and Redshift for scalable and secure data processing. ● Azure: Extensive experience with Function Apps, Synapse, Data Factory, and Data Lake Gen 2 for robust data solutions. ● GCP: Expertise in BigQuery, Cloud Functions, Data Fusion, and Looker for analytics and data management. ● Snowflake: End-to-end warehouse development including schema design, performance tuning, ELT, RBAC security, semi-structured data (VARIANT), Streams & Tasks, external tables, and cost optimization 🛠️ Data Visualization & Communication ● Data Acquisition & Integration: Experienced in connecting diverse data sources (SQL databases, APIs, CRM systems, Excel/CSV) across Power BI, Tableau, and Looker. ● Data Transformation & Modeling: Strong knowledge of Power Query, Tableau Prep, and LookML for shaping and structuring data effectively. ● Interactive Dashboards & Insights: Adept at building compelling, dynamic dashboards with DAX measures, custom visuals, and row-level security. ● Service Administration: Experienced in managing Power BI/Tableau licenses, configuring user access, and optimizing performance. Skilled in using Power BI API and Tableau Prep for automation. If you're looking for a data-driven approach to problem-solving, let’s connect! I’m happy to discuss projects, provide estimates, or assist with any data-related inquiries.

AI & Data Solutions for Your Business We are a small, focused team of AI, Software Engineers and data engineers helping small and medium-sized businesses turn data into measurable business results, not experiments. Our mission is simple: use AI and data to save you time, reduce costs, and improve decision better. Whether you’re struggling with messy data, manual processes, or lack of visibility into your business performance, we design and deliver production-ready solutions that actually work in real environments. What We Do Best Snowflake Data Warehousing And Microsoft Fabric Design, optimize, and manage Snowflake environments and end to end pipelines for performance, secure data flow, and cost efficiency. ETL / ELT Pipeline Development Build automated, fault-tolerant pipelines that ingest data from multiple sources and keep it accurate, fresh, and consistent. Data Modeling & Analytics Create well-structured data models and analytics layers that power dashboards, KPIs, and business reporting. Data Automation & Flutter Applications Automate data workflows using modern tools so reports, alerts, and transformations run reliably without manual intervention. Build Flutter applications for reporting, startup and business as anytime available tool Business Intelligence & Insights Turn raw data into clear insights through executive-ready dashboards and analysis that support real business decisions. Why Work With Us Small, senior-led team - direct communication and fast execution Production-first mindset - pipelines built for reliability, monitoring, and scale Business-driven analytics - we define KPIs that actually matter to your business Modern data stack expertise - Snowflake, cloud platforms, orchestration, automation We bridge the gap between data science ideas and real-world, production-ready AI systems.

I am a skilled Data Analyst with expertise in Tableau and SQL for data modeling in BigQuery and Snowflake. I create clear, interactive dashboards and improve data processes to help businesses make better decisions. Let me help you turn your data into valuable insights!