Hire the Best Data Engineers
in the United Kingdom

Experienced Data Engineer with a strong background in designing, developing, and maintaining data pipelines, ETL processes, and data infrastructure. Proficient in various data technologies, scripting languages, and database systems. Skilled in optimizing data workflows, ensuring data quality, and collaborating with cross-functional teams to drive data-driven insights and business outcomes. Have Experience in working Agile Structure like JIRA. Have Experience in working version control like git, BitBucket, GitLab. Have Experience in working on SQL and BI tools like Looker and Sigma. Hand-on experience on DBT (data build tools) and Apache Airflow . Key Skills: ● Data Pipeline Development ● ETL (Extract, Transform, Load) Processes ● Data Warehousing and Data Modeling ● Big Data Technologies (PySpark) ● Data Integration and Transformation ●Data Quality Assurance ● Scripting (Python) ● Cloud Platforms (Azure,Aws) ● SQL and Query Optimization ● Data Governance and Compliance ● Workflow Automation Tools: ● Snowflake ● Miscrosoft Azure (Cloud) ● Miscrosoft AWS (Cloud) ● Pyspark ● Synapse ● PostgresSQL ● Fivetran ● Airflow BI Tools: ● Sigma ● PowerBi ● Looker ● Tableau Version Control: ● Gitlab ● BItbucket ● Github ● DataOps.live

Most businesses don’t have a data problem, they have a data-to-value problem. I help companies turn raw data into scalable pipelines, intelligent AI systems, and production-ready applications. With 10+ years in Data Engineering and AI/ML, I build end-to-end systems that: ✔ Collect & process data at scale ✔ Power dashboards and analytics ✔ Enable AI features like chatbots, recommendations, and automation 🔷 What I Can Do For You 🚀 1. Data Engineering & Pipelines • Build reliable ETL/ELT pipelines (Airflow, Spark, Python) • Design data lakes & warehouses (Snowflake, BigQuery, Redshift) • Real-time & batch processing systems • Clean, validated, analytics-ready datasets 🤖 2. AI / LLM Applications (High Demand) • GPT / LLM apps (chatbots, copilots, assistants) • RAG systems with vector databases (Pinecone, FAISS, Weaviate) • AI automation tools for business workflows • NLP systems (classification, summarization, sentiment) 🧠 3. End-to-End AI Systems • Model development → deployment → monitoring • Deep learning & predictive models • Recommendation engines • Computer vision solutions ☁️ 4. Cloud & Scalable Architecture • AWS, GCP, Azure • Docker, Kubernetes, CI/CD • MLOps & DataOps pipelines • High-performance, cost-efficient systems 📊 5. Analytics & Business Intelligence • Power BI / Tableau dashboards • KPI tracking & reporting • Data storytelling for decision-making 🔷 Tech Stack Languages: Python, SQL Data: Spark, Airflow, Hadoop AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face LLMs: OpenAI, LangChain, LlamaIndex Vector DBs: Pinecone, FAISS, Weaviate Cloud: AWS, GCP, Azure DevOps: Docker, Kubernetes, Terraform 🔷 Why Clients Hire Me ✔ I build systems, not scripts ✔ Strong in both Data Engineering + AI (rare combo) ✔ Focus on production-ready, scalable solutions ✔ Clear communication & fast delivery 🔷 If you need: • A scalable data pipeline • An AI/LLM-powered application • Or a full data + AI system 👉 Send me a message, I’ll help you design the right solution.

With over 6 years of hands-on experience in building and optimizing data pipelines, I specialize in delivering end-to-end data engineering solutions that scale. Whether it's setting up robust ETL workflows, migrating to the cloud, or implementing real-time data streaming, I bring a performance-driven approach to every project. 🔧 Core Skills & Technologies: Cloud Platforms: AWS (Glue, S3, Redshift, EMR), GCP (BigQuery, Dataflow), Azure Data Engineering Tools: Apache Spark, Airflow, Kafka, DBT, Hadoop Languages: Python, SQL, PySpark, Bash Databases: PostgreSQL, MySQL, Snowflake, MongoDB DevOps & CI/CD: Docker, Terraform, Git, Jenkins

Get reliable data pipelines, trusted dashboards, and a single source of truth your team can actually use. I’m a Senior Data Engineer and BI Consultant with 9+ years of experience designing, building, and maintaining modern data platforms across AWS, GCP, Microsoft Fabric, Power BI and Data Studio. I help businesses move from scattered files, broken pipelines, slow reports, and unreliable dashboards to clean, automated analytics systems that support faster and better decision-making. I specialize in cloud data engineering, data warehousing, lakehouse architecture, dbt transformations, and business intelligence solutions that are production-ready, scalable, and easy to maintain. 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐅𝐨𝐫 𝐘𝐨𝐮: ✅ Design and build automated data pipelines across AWS, GCP, and Microsoft Fabric. ✅ Build modern data warehouses and lakehouses using Redshift, BigQuery, Databricks, Synapse, S3, and Apache Iceberg ✅ Develop clean transformation layers using dbt, SQL, PySpark, Python, and Power Query. ✅ Implement reliable data models using Kimball Multi-Dimensional Modeling, and Data Vault 2.0 ✅ Build streaming pipeline using Amazon MSK, and Kafka ✅ Build executive dashboards in Power BI, Looker Studio, Tableau, Excel, and Google Sheets. ✅ Improve slow reports, broken pipelines, poor data quality, and unreliable analytics workflows. ✅ Document systems clearly so your team can understand, maintain, and scale them. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫: ➡️ Cloud Data Engineering: AWS, GCP, Microsoft Fabric, Azure ➡️ Data Warehousing: Redshift, BigQuery, Snowflake, Synapse Analytics ➡️ Data Lakes & Lakehouse: Amazon S3, ADLS, GCS, Delta Lake, Medallion Architecture ➡️ Data Transformation: dbt, SQL, Python, PySpark, Pandas, Power Query ➡️ Orchestration & Automation: Airflow, AWS Glue, Azure Data Factory, Cloud Dataflow ➡️ BI & Analytics: Power BI, Looker Studio, Excel, Google Sheets ➡️ Data Modeling: Kimball, Data Vault 2.0, Star Schema, Semantic Layers 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞: Power BI, Looker Studio, dbt, Python, SQL, PySpark, Airflow, AWS Glue, AWS DMS, Lambda, Redshift, Athena, BigQuery, Snowflake, Microsoft Fabric, Azure Data Factory, Synapse Analytics, Amazon S3, ADLS, GCS, GitAction, CI/CD. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐄𝐱𝐩𝐞𝐜𝐭: ✅ Clean, automated data pipelines ✅ A reliable single source of truth ✅ Fast SQL and Python processing ✅ Dashboards that are clear, useful, and adopted by the business ✅ Strong data quality, testing, and documentation ✅ Clear communication and dependable delivery ✅ A complete BI package, not just another dashboard Whether you need a new pipeline, a scalable data warehouse, a lakehouse, a dbt project, a Power BI dashboard, or a full end-to-end analytics system, I can help you design it properly and deliver it with confidence. Send me a message with your current data challenge, and let’s discuss how to turn it into a reliable analytics solution.

Data professional with over 6+ years of experience, I specialize in providing comprehensive data consulting and services. My primary focus is on empowering businesses to unlock the potential of their data, enabling strategic decision-making and operational efficiency. 💯 Top-Notch Data Services: ⭐ Data Engineering ⭐ Data Architecture ⭐ Data Modeling ⭐ Data Warehousing [ MDM, CDC, SCD ] ⭐ Data Lakes / Data Mart / Delta Lakes ⭐ Data Migration and Integration / Data Quality Assessment / Data Governance ⭐ Data Analytics and Visualization ⭐ Data Strategy And Consulting. ⭐ Database Design & Management ⭐ Project Documentation [ ISD / SMX / ERD ] ⭐ Training and Support. 🥇 Domain Experience ⚡ Insurance / Healthcare / Banking / Telecom / Microfinance ✅ Amazon Web Services ⚡ Redshift / RDS / S3 / Athena / Glue / Lambda / QuickSight / EC2 ✅ Microsoft Azure ⚡ Azure Data Lake / Azure Databricks / Azure Data Factory / Synapse ✅ Big Data Stack ⚡ Apache Spark / Apache Hadoop / Apache Airflow / Apache Hive / Apache Kafka / Cloudera / Databricks ✅ Data Visualization ⚡ PowerBI / Tableau / Azure Synapse / AWS QuickSight / Excel / Google Data Studio / IBM Cognos ✅ Languages & Libs ⚡ SQL / Python / Java / PL/SQL / C++ / .Net / JavaScript / JSON / Node.js / PySpark / Pandas / Numpy / Matplotlib / ReactJs / HTML / CSS / Django ✅ ETL & Other Tools ⚡ Teradata / Talend Data Integration / IBM Datastage / Informatics / Alteryx / Apache Airflow / Docker / Jenkins / Confluence / Jira ✅ Databases ⚡ Vertica / IBM DB2 / Teradata / Greenplum / PostgreSQL / Oracle / MySQL / MS SQL / Oracle Goldengate / Cassandra

With 10 years of strong expertise in Data Engineering, AI/ML Engineering, Big Data Technologies, Python, Cloud Infrastructure, and Business Intelligence, I build end-to-end data platforms and AI-powered systems from ingestion and transformation to analytics-ready warehouses, intelligent automation, and production-grade AI applications. If you need clean, structured, and production-ready data architecture, AI-powered SaaS platforms, or intelligent automation systems, I can design and implement them efficiently. What I Can Help You With AI & Machine Learning Engineering: LLM applications using Claude, OpenAI, and open-source models. RAG pipelines with hybrid retrieval, vector databases, and citation-grounded outputs. Multi-agent orchestration using LangChain, LangGraph, and CrewAI. AI voice agents using VAPI, Retell AI, ElevenLabs, and Whisper. Prompt engineering, structured outputs, and LLM evaluation frameworks. Computer vision, NLP, and predictive modelling. Fine-tuning with LoRA, PEFT, and HuggingFace Transformers. MLOps covering model versioning, experiment tracking, and production monitoring. AI workflow automation using n8n, Make, and custom orchestration. Full-Stack AI Application Development: Production SaaS platforms with AI integration. React, Next.js, TypeScript, and React Native for web and mobile. Python FastAPI, Node.js, NestJS, and Django for backend. Supabase, PostgreSQL, Redis, and Firebase. Stripe subscription billing and multi-tenant architecture. Cloud deployment on AWS, GCP, and Azure with Docker and Kubernetes. CI/CD pipelines and production DevOps. Data Engineering & ETL: Building scalable ETL/ELT pipelines. Apache Airflow and workflow orchestration. Apache Spark, Hadoop ecosystem, and Python. Batch and real-time data processing. Data cleaning, transformation, and quality validation. Workflow automation and scheduled pipelines. dbt for transformation logic and data modelling. Big Data & Streaming: Apache Spark for batch and distributed processing. Kafka, Flink, and Spark Streaming. HDFS and Data Lake architectures. Hive, Pig, and HBase. Distributed data systems. Data Warehousing & Databases: Snowflake, BigQuery, and Amazon Redshift. Star Schema and Snowflake Schema design. OLAP and analytical modelling. Query optimisation and indexing. SQL covering PostgreSQL, MySQL, and SQL Server. NoSQL covering MongoDB, Cassandra, and Redis. Vector databases covering Pinecone, pgvector, Weaviate, and FAISS. Cloud & DevOps: AWS covering S3, EC2, Lambda, RDS, IAM, VPC, ECS, ECR, CloudFront, API Gateway, Bedrock, and SageMaker. GCP covering BigQuery, Dataflow, GKE, Cloud SQL, Cloud Storage, Cloud Run, and Vertex AI. Azure covering Data Factory, Storage, Data Lakes, Azure OpenAI, and Container Apps. Docker, Microservices, and Kubernetes. Terraform for Infrastructure as Code. CI/CD pipelines. Scalable cloud architecture. Cloud Migrations: AWS RDS, Google Cloud SQL, and Azure SQL Database. Moving workloads and applications between cloud providers. Leveraging microservices and containers for cloud migration. Moving data between cloud storage systems, data lakes, and warehouses. Rehosting applications or services with minimal codebase changes. Business Intelligence & Analytics: Power BI and Tableau dashboards. DAX and Power Query. KPI development and metric definition. Business performance reporting. Data storytelling and insights. AI-powered analytics and natural language querying. Data Extraction & Automation: Web scraping using BeautifulSoup, Scrapy, Selenium, and Playwright. Automated data extraction from dynamic and JavaScript-rendered websites. API integration and structured data parsing. CAPTCHA handling and rate-limit management. Scheduled scraping workflows using Airflow and Cron. AI-powered document extraction using OCR, Claude Vision, and Textract. Data cleaning, validation, and structured database storage. Voice AI & Conversational Systems: Production voice AI platforms for businesses. Inbound and outbound AI calling systems. WhatsApp, SMS, and email automation. CRM integration and appointment booking. Multi-language voice agents with real-time conversation. 30 plus AI and software products shipped across healthcare, fintech, e-commerce, legal, and enterprise SaaS. UK-based, remote, and available for long-term engagements.