AI & Data Engineering Expert | Workflow Automation & Cloud Solutions I help businesses scale faster with AI-driven workflows and robust data engineering solutions. With over 10 years of experience, I design agentic AI systems that think, decide, and act across your tools, automating customer support, payment flows, reporting, and decision-making processes. As a data engineering specialist, I build scalable pipelines, integrate enterprise systems, and deliver analytics solutions using AWS, Azure, GCP, Databricks, Airflow, Airbyte, dbt, and advanced data modeling. I bridge the gap between technical complexity and business impact to ensure your data works for you. I also create workflow automations and integrations with tools like n8n, CrewAI, Zapier, Make, Twilio, Jotform, Google Sheets, CRMs, and APIs, eliminating repetitive tasks and boosting operational efficiency. My AI solutions leverage LLMs (GPT, Claude, etc.) to automate replies, intelligent routing, and decision-making workflows, making your operations smarter and faster. I deliver projects quickly (24–48 hours), provide clear documentation, and record walkthroughs for immediate adoption. Here are the five case studies of Agentic AI & Data Engineering Solutions I have implemented for clients: 1. AI-Powered Anomaly Detection for ETL Pipelines Developed an AWS Lambda function that integrates with Amazon Bedrock (Anthropic Claude) to enhance data quality checks. Key Highlights: * Extracts ETL log tables from Amazon Redshift * Utilizes a Large Language Model to analyze daily data loads * Detects anomalies in record counts and aggregate metric values 2. Agentic RAG Solution for Enterprise Knowledge Management Configured a Retrieval-Augmented Generation (RAG) solution using Amazon Q Business, integrating Confluence, Jira, S3, and SharePoint. Key Highlights: * Federated login implemented via Okta identity * Unified access to internal documentation and data for AI-powered responses * Enables automated knowledge retrieval and decision-making workflows 3. AI-Powered Document Verification System for Fintech Built a serverless, AI-powered document verification system that automates fraud detection at the point of upload. Key Highlights: * Flags duplicate or suspicious loan documents * Detects missing or incorrect supporting certificates * Event-driven pipeline triggers instantly on uploads to Amazon S3 using AWS Lambda, Amazon Textract, and Terraform 4. Scalable, Resilient Data Platform on AWS for Fintech Designed and delivered a fully containerized, event-driven AWS-native data platform to unify multiple data sources. Key Highlights: * Export process: Python extractors in Docker containers via AWS Fargate, data landed in S3, logs in Redshift * Import process: Containerized Python jobs moved validated data to Redshift staging and Lake layers * Data quality: Automated checks using Great Expectations * Transformations: Modular dbt transformations with CI/CD * Infrastructure and orchestration: Terraform, Apache Airflow, monitoring via Slack and Outlook 5. Data Platform Modernization on Azure Modernized data platforms and analytics workflows using Azure Data Services and Databricks. Key Highlights: * Migrated datasets from Google BigQuery to Databricks * Built ADF pipelines for SAP, Oracle, and flat files * Developed Spark code for batch and streaming data from Azure EventHub * Supported CI/CD setup for ADF and Databricks * Conducted data reconciliation between old BigQuery and new Databricks datasets * Developed POCs for Microsoft Fabric and assessed performance and scalability Clients worldwide rely on my solutions to save time, scale efficiently, and focus on high-value work. If you want a proven expert in AI, automation, and data engineering to create actionable, high-impact solutions for your business, I am ready to help.

⏰ Available 24/7 – Long-term & High-impact Projects Hi, I’m Nghi, a Senior Data Engineer and Data Architect with a strong backend foundation, now focused on building high-performance analytics platforms, explainable data pipelines, and production-grade cloud architectures. I help companies transform unreliable, slow, or opaque data systems into scalable, well-documented, and business-trustworthy platforms. 🧠 WHAT I SPECIALIZE IN 🏗️ Data Architecture & Platform Design - Designing modern lakehouse & warehouse architectures - dbt-first analytics engineering with testing, freshness & lineage - Event-driven and batch hybrid pipelines - Data quality frameworks & SLA monitoring - Customer-facing data explainability systems Tools: dbt, Dagster, Airflow, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, DuckDB, ClickHouse ⚡ Database Performance Engineering - If your queries are slow, costs are high, or dashboards lag, This is my zone - Query plan analysis & index strategies - Warehouse cost optimization (Snowflake, BigQuery, Redshift) - OLTP & OLAP performance tuning - High-concurrency workload design 🔄 Reverse ETL & Operational Analytics - Syncing analytics back to CRMs & internal tools - Building real-time metrics pipelines - Feature-store style transformations 🕷️ Enterprise-grade Web Data Extraction - I don’t just scrape pages, I build durable data acquisition systems: - Complex ASP.NET, JS-heavy, authenticated & paginated systems - Anti-bot bypassing & failure-recovery pipelines - Headless browser automation + async scraping - Real-estate, finance, campaign-finance & marketplace platforms ☁️ Cloud Infrastructure - AWS | Azure | GCP - EMR / Dataproc / Glue / Dataflow / Synapse / BigQuery / Redshift - Terraform-based deployments - Cost-aware architectures - Kubernetes + Dockerized data services 🧪 What You Get Working With Me ✔️ Production-ready pipelines ✔️ Clean, testable dbt models ✔️ Well-documented architecture diagrams ✔️ Transparent data logic for non-technical stakeholders ✔️ Systems that scale beyond MVP ✔️ Honest advice and not over-engineering 🏆 Ideal Projects 👍 Data warehouse migrations 👍 Broken pipelines that need debugging & stabilization 👍 Analytics platforms that lack trust or explainability 👍 Performance bottlenecks costing thousands per month 👍 Long-term data platform ownership ❣️ Why Clients Stay Long-Term 🍀Clear communication 🍀 Business-first thinking 🍀 No black-box systems 🍀 I build systems others can maintain 🇻🇳🇻🇳🇻🇳🇻🇳 If your data platform feels fragile, slow, or impossible to explain to customers, I can fix that. Let’s make your data system something you can confidently stand behind.

As a former Head of Data for a high-growth dating app, I've driven data-informed decisions that directly contributed to company expansion. My hands-on experience spans roles including analyst, developer, data scientist, analytics engineer, and data architect, providing me with a comprehensive understanding of the entire data lifecycle. My mission is to empower decision-makers with rapid access to actionable insights through robust data infrastructure and clear visualisations. I specialise in: • Data Visualisation: Expert in Mixpanel, Amplitude, Tableau, and Sisense • Data Modelling & Infrastructure: Proficient with DBT, Redshift, and BigQuery • Programming: Advanced SQL, Python, and R Key areas of expertise: Product Data Analysis • Translating high-level questions into data-driven insights • Guiding teams in hypothesis formulation and prioritisation • Designing and analysing A/B tests for product optimisation Business Intelligence Development • Architecting scalable data infrastructures • Implementing efficient data models using DBT • Creating intuitive, actionable dashboards Software Development • Building efficient, testable Python and PHP code • Applying object-oriented design principles and patterns • Leveraging AWS for robust backend infrastructure Data Architecture • Designing future-proof data architectures aligned with business objectives • Constructing data lakes using cutting-edge big data technologies • Optimising data infrastructure on AWS With a blend of technical prowess and business acumen, I deliver data solutions that drive growth, enhance decision-making, and unlock business potential. Let's collaborate to turn your data into a strategic asset.

I help businesses overcome their most common data challenges: information trapped in silos, manual reporting that wastes time, and unclear metrics that stall decision-making. My expertise lies in Data Analysis, Data Analytics, and Business Analysis, transforming raw, unstructured information into automated systems and compelling Data Visualization dashboards that drive clarity and confident action. Using advanced Microsoft Power BI, SQL, Python, and Microsoft Excel, I convert fragmented data from multiple sources into a reliable single source of truth. Whether your data lives in Snowflake, SQL Server, QuickBooks, Google Sheets, or other Spreadsheet Software, I design scalable solutions that streamline reporting and unlock insights. ✅ What I Deliver: End-to-End Data Analytics Solutions I provide complete Business Intelligence and Analytics services from data collection and cleaning to advanced dashboard development and performance reporting. Financial & Operational Reporting ✅ Financial Analysis dashboards integrating QuickBooks/Xero ✅ Automated reconciliation, AR/AP tracking, and forecasting ✅ Replacing manual Microsoft Excel and Google Sheets reports with live Power BI dashboards Marketing & Growth Analytics ✅ Google Analytics and Marketing Analytics dashboards ✅ Sales performance tracking and KPI reporting ✅ Lead generation and campaign optimization insights Sector-Specific Reporting ✅ Healthcare data reporting ✅ Aviation safety dashboards ✅ Construction analytics (Primavera P6) ✅ CRM/ERP performance monitoring Core Expertise & Technical Skills 1. Data Preparation & Engineering ✅ Advanced Data Entry, data cleaning, and transformation ✅ ETL processes using SQL, Python, Azure Data Factory, DBT, AWS Glue ✅ Robust Data Modeling (star & snowflake schema) ✅ Data warehousing with Snowflake, Azure SQL, Databricks 2. Dashboard & Report Development ✅ Professional Data Visualization using Microsoft Power BI ✅ DAX calculations and Power Query transformations ✅ Excel PowerPivot and advanced Spreadsheet Software automation ✅ Interactive dashboards designed with strong UI/UX principles 3. Advanced Analytics & Automation ✅ Predictive modeling and performance optimization ✅ Automated workflows using Power Automate, SharePoint, Outlook ✅ SQL database integration and scalable reporting pipelines What Sets Me Apart ✅ End-to-End Ownership From initial Data Entry and validation to final dashboard delivery, I manage the entire lifecycle of your Data Analytics solution. ✅ Decision-Ready Insights My dashboards are not just visually polished they are built around actionable Analytics, KPIs, and measurable business impact. ✅ Clear Communication I simplify complex Data Analysis into insights that non-technical stakeholders can understand and act on. ✅ Enterprise-Grade Solutions Proven experience building scalable systems for finance, healthcare, aviation, marketing, and operations. My Process ✅ Requirement Discovery & Business Analysis ✅Data Audit (SQL, Excel, Google Sheets, databases) ✅ Cleaning, Transformation & Data Modeling ✅ Dashboard Development in Microsoft Power BI ✅ Testing, Optimization & Validation ✅ Delivery, Documentation & Ongoing Support Industries & Business Functions Supported ✅ Financial Analysis & Accounting (forecasting, reconciliation, financial modeling) ✅ Marketing Analytics & Sales Analytics (Google Analytics, campaign performance, revenue tracking) ✅ Operations Analytics (process optimization, performance monitoring) ✅ Healthcare data reporting ✅ Construction & project analytics ✅ Executive KPI dashboards Testimonial "Working with Samuel completely transformed our reporting process. What used to take our finance team two days every month in Microsoft Excel is now fully automated in Power BI. He consolidated data from multiple sources, cleaned inconsistencies, and built a single source of truth that our leadership team relies on daily. The dashboards are not only visually impressive but strategically designed around our KPIs. Decision-making is faster, meetings are more focused, and we finally trust our numbers. If you need someone who truly understands Data Analytics and Business Intelligence from end to end, he’s the person to call." - Bill Mike, Executive Director If you’re ready to replace manual Microsoft Excel reporting, improve your Marketing Analytics, centralize your SQL databases, and gain real-time insights through professional Data Visualization, I’m here to help. Send me a message, and let’s build a powerful, automated Data Analytics solution that drives smarter decisions and measurable growth. keywords AnyChart,API Integration, Business Intelligence, Dashboard, Digital Mapping, Presentations, Java, Data Analysis Expressions, Multidimensional Expressions, R, Wolfram Language, Python, Data Analysis, Data Visualization, Data Science, JavaScript, SQL, API, Matplotlib, Machine Learning, D3.js, Machine Learning Algorithm, Google Sheets Automation, Excel Macros, yahoo finance

As a seasoned data engineer, I have an impressive track record of delivering impactful solutions that drive data-driven decision-making. With expertise in architecting data warehouses, I have successfully designed and implemented robust systems from source system to modeling and BI layers. I have a keen eye for developing executive-level dashboards, enabling the presentation of key performance indicators (KPIs) to stakeholders for informed decision-making. My collaborative nature shines through as I work closely with cross-functional teams to gather requirements and transform them into technical solutions. I have led initiatives, such as sessionizing website event data for revenue attribution, showcasing my ability to drive innovative projects with tangible business outcomes. Mentoring junior developers is a passion of mine, and I take pride in providing guidance and expertise in code reviews, project direction, and meeting preparation, resulting in enhanced collaboration and improved code quality. Utilizing cutting-edge tools like dbt, Python (Airflow or Dagster), and Snowflake, I have developed and modeled data into consumable formats, including staging, base, intermediate, dimension, and fact tables. I have extensive experience with complex SQL queries and have leveraged my knowledge of data modeling methodologies like Data Vault. Additionally, I have successfully migrated on-premise data to the cloud using Microsoft Azure and Databricks, showcasing my ability to leverage advanced technologies for seamless data platform migration. My ability to collaborate closely with stakeholders, including C-level executives, has led to valuable insights and the development of comprehensive Power BI dashboards across various business functions. I have also demonstrated my analytical acumen by developing risk models using Bayes Theorem, enabling proactive risk mitigation and informed decision-making. Leveraging the power of Databricks, I have designed and implemented robust data pipelines, ensuring efficient data transformation and processing. With a strong track record in data engineering and a wide range of technical skills, I am well-equipped to drive data initiatives and deliver impactful solutions in any data engineering role.

Hello, I’m Lenin Mishra, and I bring 10 years of expertise in designing and implementing modern data stack pipelines. Currently, I lead the analytics engineering team at a multinational bank with a presence in 6 countries. My specialization lies in the Modern Data Stack (MDS), which typically includes: 1. Fully managed ELT data pipelines such as Airbyte, Stitch, or Fivetran. 2. Columnar storage data warehouses like Redshift, Snowflake, or BigQuery. 3. Data transformation tools such as DBT. 4. BI tools like Tableau, Looker, or other data visualization platforms. 5. Orchestration services like Airflow or Dagster to manage and schedule workflows. If you’re looking for assistance in any of these areas, I’m here to help!

Building production data infrastructure and AI systems for clients across the US, UK, and Middle East. Top Rated on Upwork with 100% Job Success. I help businesses turn messy data into reliable pipelines and transform AI ideas into working products. Whether you need a data warehouse that scales, an LLM powered assistant, or automated workflows that save hours of manual work, I build systems that actually run in production. Data Engineering: I design and build ETL and ELT pipelines using Python, dbt, Airflow, and AWS Glue. I work with data warehouses like BigQuery, Snowflake, and Redshift, and have consolidated complex architectures into clean, maintainable systems. One project involved reducing 132 AWS Lambda functions down to 10 streamlined pipelines. I handle data modeling, dimensional design, and build dashboards using Looker Studio and Power BI that teams actually use. AI and LLM Systems: I build practical AI solutions using OpenAI, Claude, and open source models. This includes RAG pipelines with LangChain and vector databases like Pinecone and ChromaDB, custom chatbots, document assistants, and multi agent systems. I also work with agentic AI and workflow automation using n8n and OpenAI Agents to help businesses automate repetitive tasks. What I Work With: Python, SQL, dbt, Airflow, Spark, BigQuery, Snowflake, Redshift, AWS, GCP, Azure, Docker, FastAPI, Django, LangChain, OpenAI API, n8n, Pinecone, ChromaDB, Looker Studio, Power BI How I Work: I communicate clearly, respond quickly, and focus on delivering working solutions. I have experience working async with international teams and managing projects independently. I document my work and write clean, production ready code. If you have a data or AI challenge, send me a message. I am happy to discuss how I can help.

I help companies turn multiple data sources into valuable insights. With a graduate degree in Intelligent Decision Support Systems, I specialize in data modeling, dashboards, and data integration for industries including marketing, retail, finance, healthcare, and insurance. Throughout my career, I have built BI systems that enable performance measurement, customer analysis, and operational optimization. Proudly using Ralph Kimball’s data warehousing methodology and strong SQL skills, I design tailored dimensional models that make reporting efficient and insightful. My technical toolkit includes Power BI and Qlik Sense for interactive dashboards, Azure SQL and SSIS for robust ETL pipelines, and solid data architecture foundations for scalable solutions. I work closely with stakeholders to translate business goals into data-driven solutions that support strategic decisions and measurable business growth. Key Technical Expertise • BI & Visualization: Power BI, Qlik Sense, Looker, Metabase, Sisense • Data Modeling & ETL: Ralph Kimball Methodology, dbt, Azure Data Factory, SSIS, Alteryx, Fivetran • Databases & Warehousing: Snowflake, Google BigQuery, Azure SQL, AWS Redshift, Oracle, PostgreSQL • Languages: SQL (Expert), Python • Cloud Platforms: Azure, GCP, AWS

Nick is a seasoned analytics and data monetization expert, data architect and data scientist with expertise in cloud-based business intelligence, analytics and data architecture. During his time at a global leader in enterprise data, his team built, launched and scaled the industry’s first connected multi-cloud data platform for enterprise data monetization, adopted by orgs such as Netflix and Coca-Cola, to name a few. Besides supporting large enterprise clients, over the last 15+ years, Nick has successfully built and managed best-in-class data departments within fast-paced startups and high-growth venture-backed companies. He has deep experience as a business & analytics leader embedded within finance, product, marketing, sales, operations, engineering and technology departments. Some of the services I provide for my clients: ° Architect, build and manage a modern data monetization stack to enable use cases like advanced analytics, machine learning and AI ° Modernize and fine-tune your existing data stack, improving cost efficiency and performance ° Business Intelligence (BI) platform implementation to deliver dashboards, reporting, self-service business intelligence and analytics ° Composable Customer Data Platform (CDP) design and implementation ° Data Science experimentation, advanced analytics, artificial intelligence, forecasting, machine learning, predictive modeling ° Company-wide or department-wide long-term data monetization strategy development ° Coaching or advisor for existing data teams ° Project scoping and feasibility analysis ° Resolving data governance, data quality, data accessibility issues Some of the business use cases I have expertise in: OPS · KPI development · performance management · inventory management · warehouse management · customer service management FINANCE · automated financial reporting · automated variance analysis · financials forecasting SALES · sales forecasting · territory management · compensation management MARKETING · composable customer data platform · media mix modeling · advanced marketing attribution PRODUCT · A/B Testing · funnel optimization · churn prediction · plenty more, just ask! Certified technical expertise in a wide range of cloud data & analytics technology: • Programming Languages: SQL, Python, R • Data Warehouse: Snowflake, Redshift, BigQuery • Visualization: Tableau Certified, Looker, Metabase and many others • Data Pipeline: dbt Certified Developer • Orchestration: Airflow, Dagster, Prefect • Data Science: Databricks, Anaconda

Organizations often struggle to trust their data not because of missing technology, but due to fragmented sources, inconsistent pipelines, and unreliable outputs. I’m Neeraj Negi, a Top Rated Data Engineer with a 99% Job Success Score on Upwork, helping teams build stable, scalable data foundations. I design and build reliable, scalable data pipelines and analytics platforms that convert raw, fragmented data into governed, analytics-ready datasets used for reporting, forecasting, and informed decision-making. With 5+ years of hands-on experience, I have worked on production data systems across insurance, e-commerce, and event-driven environments. My work typically involves owning the full data lifecycle from ingestion and transformation to optimization, quality, and analytics consumption while collaborating closely with business stakeholders to ensure data supports real business decisions. My approach is pragmatic and long-term: build data systems that are stable, maintainable, and trusted by the business. ✅ Why Clients Choose Me: 1. Maintain a 99% Job Success Score with consistent long-term client engagements 2. Deliver production-ready ETL/ELT pipelines that reliably move data from source systems to analytics-ready layers 3. Implement scalable cloud-based data architectures with a strong focus on performance and cost efficiency 4. Translate business and reporting requirements into clean, well-modeled analytical datasets 5. Modernize legacy and on-premise data workflows into cloud-native solutions 6. Deliver clean, well-documented data models designed for long-term ownership ✅ Core Expertise / Tech Stacks : 1. Data Modeling & Analytics Engineering: Dimensional modeling (Star & Snowflake schemas), analytics-ready data products, DBT Core & DBT Cloud, advanced SQL 2. Data Integration & Orchestration: ETL / ELT pipelines (batch & incremental), Apache Airflow 3. Cloud Data Platforms: Azure (ADF, Synapse), GCP (BigQuery) 4. Programming & Scripting: Python, Bash 5. Big Data & Distributed Processing: Apache Spark (PySpark, Spark SQL), Delta Lake, Kafka, Databricks 6. Data Quality, Governance & DevOps: Data quality frameworks, schema management, monitoring, CI/CD (Git-based workflows) 7. Analytics & Delivery: Power BI data modeling, Agile, Scrum, DataOps ✅Project Experience: 1. Insurance Data Engineering & Analytics : Worked on modernizing insurance data pipelines involving policy, claims, broker, and third-party data sources. Designed and maintained analytics-ready data models using SSIS, Python, and advanced SQL, standardizing fragmented datasets into governed reporting layers stored in Azure SQL. Built automated ETL workflows and implemented incremental processing and SQL performance optimization to ensure data accuracy and scalability. Data pipelines were scheduled and executed using Azure Container Jobs, while curated datasets powered Power BI dashboards for operational and management-level reporting. This approach significantly improved data reliability, reduced manual reconciliation, and ensured consistent metrics across reports. 2. E-Track – Event Management Analytics: E-Track was a data analytics solution built to support event planning and performance analysis. I designed DBT- and SQL-based transformation models to convert raw event registration, attendance, and feedback data into structured reporting layers. Using DBT transformations, I created key metrics such as monthly event volume, event category performance, and seasonal demand trends. The resulting datasets powered Metabase dashboards that enabled business teams to forecast demand, analyze trends, and optimize resource allocation. My work emphasized modular DBT modeling, incremental loads, and optimized SQL queries to ensure fast and reliable dashboard refreshes. 3. Rooster – E-Commerce Marketing & Sales Analytics: For an e-commerce client, I developed data transformation and modeling pipelines using DBT to consolidate marketing and sales data from platforms including Google Ads and Facebook Ads. I built clean, unified datasets to support Power BI reporting on KPIs such as conversion rate, monthly sales by product category, and return order ratios. In addition, I implemented DBT models for deeper sales performance analysis, covering product-level trends and customer segmentation. 📌 If you’re looking to build a dependable data foundation, modernize existing pipelines, or scale your analytics capabilities, I’d be happy to discuss your requirements. ✅I’m available to start immediately. Click “Invite to Job” or send a message to begin the conversation.