Hire the Best Data Migration Engineers

Modern Workplace and Intune engineer managing 12,000 endpoints for a UK Financial Services group. Outside that role, I take on selected Microsoft 365, Autopilot, Entra ID, and Azure projects. Before this role, I spent three years inside an MSP, where a new tenant landed on my desk every few weeks. That kind of volume teaches you things a single-tenant job never will: which Intune configurations actually hold up across different industries, where Autopilot quietly breaks in the field, and how to run a tenant migration without the 2 am rollback call. I’ve delivered across the UK, Australia, USA, Canada, South Africa, and a handful of smaller markets. What I specialise in Modern Device Management: Intune (MDM/MAM), Windows Autopilot, compliance baselines, app packaging, Endpoint Privilege Management, endpoint analytics Identity & Security: Entra ID, Conditional Access, MFA rollouts, Defender for Endpoint, Zero Trust design, Intune security baselines aligned to CIS and OpenIntuneBaseline (OIB) Migrations: tenant-to-tenant, Google Workspace ↔ Microsoft 365, hybrid Exchange, SharePoint Online Automation: PowerShell, Microsoft Graph, Azure Functions, CI/CD for configuration and policy. Recent builds include a serverless patch-health dashboard across a 12k Intune estate and an automated winget-based app packager. A few results worth mentioning Deployed 3,000+ Windows endpoints via Intune and Autopilot, cutting provisioning from four hours per device to under 45 minutes Wrote a PowerShell pipeline that migrated 10,500+ contract attachments from BMC into Freshservice during a CMDB cutover. The previous round of the same work had taken two engineers six months of manual download and re-upload; the script handled it in a day Built a serverless patch-health pipeline (Azure Functions, Blob Storage) that surfaces non-compliant endpoints across a 12k Intune estate in near real time, at zero ongoing infra cost Automated winget-based app packaging, replacing the manual repackaging cycle that used to consume hours of EUC time per app refresh Delivered cutover migrations in both directions between Microsoft 365 and Google Workspace, including a 500-mailbox cutover from M365/GoDaddy with users back in their inbox the same morning Hardened Intune security baselines against CIS and OpenIntuneBaseline (OIB) controls for regulated tenants, with mappings retained for audit Clients tell me I communicate clearly, own the outcome from kickoff to handover, and don’t disappear when something unexpected comes up mid-rollout. If you’re planning a rollout, a migration, or a cleanup of a tenant that’s gotten away from you, send a brief. I’ll tell you honestly whether I’m the right fit. I’d rather turn down a job than take one that won’t go well.

Data is as valuable as the decisions it enables. Is your leadership team waiting weeks for reports? Are your data pipelines constantly breaking, or is your cloud spend spiraling out of control? I don't just "write ETL", I build the scalable, automated engines that turn raw, messy data into real-time business intelligence. With over 6,000+ hours on Upwork and a 100% Job Success Score, I help enterprises move from manual data chaos to a streamlined, modern data stack. My Core Focus: - Microsoft Fabric: End-to-end implementation (OneLake, Data Factory, Lakehouse/Warehouse). - Databricks: Building robust Medallion architectures using Spark, Delta Lake, and Unity Catalog. - Automated ETL/ELT: Designing resilient pipelines with Airflow, Azure Data Factory, and Python. - Enterprise BI: High-performance Power BI dashboards using Direct Lake and advanced DAX. Why Clients Choose Me: I bridge the gap between technical complexity and business ROI. Whether you are migrating from legacy SQL servers to the cloud or optimizing a complex Databricks environment, I focus on two things: Performance and Clarity. Technical Ecosystem: - Languages: Python, SQL, PySpark, DAX - Platforms: Microsoft Fabric, Azure Synapse, Databricks, Snowflake - Tools: Airflow, ADF, Power BI, Tableau, PostgreSQL/MySQL Ready to transform your data infrastructure into a strategic asset? Click the "Message" or "Book Consultation" button, and let’s discuss your architecture.

Highly skilled Airtable developer with 8+ years of experience in designing, building, and optimizing custom Airtable solutions. Expertise in workflow automation, data integration, and team collaboration. Proven track record of delivering scalable, user-friendly, and efficient Airtable applications. Key Skills: •⁠ ⁠Airtable development (bases, tables, views, forms, workflows) •⁠ ⁠Workflow automation (scripts, APIs, Zapier) •⁠ ⁠Data integration (APIs, CSV, Google Sheets, Excel VBA) •⁠ ⁠Team collaboration (permissions, roles, workflows) •⁠ ⁠Database design and optimization •⁠ ⁠User interface (UI) customization •⁠ ⁠Airtable API and scripting

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.

Data Engineer specializing in Python ETL pipelines for cloud data warehouses. I build automated data engineering solutions processing millions of records daily. From real-time trading data to healthcare analytics 6+ years building production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks. I architect data engineering solutions that handle schema changes, ensure data quality, scale with demand, and prevent 3 AM pipeline emergencies. DATA ENGINEERING & ETL EXPERTISE ETL Pipeline Development & Data Engineering I design scalable ETL pipelines and data engineering infrastructure using Python with Apache Airflow or Dagster. My data engineering solutions include automated error handling, data validation, and comprehensive monitoring. Cloud Data Engineering (GCP & AWS) I build cloud-native data engineering solutions and ETL pipelines on modern platforms: • GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub • AWS: Redshift, Glue, Lambda, S3, Kinesis Enterprise data warehouse migration: Reduced ETL processing time 60% moving to GCP. Python Data Engineering & Pipeline Orchestration Python expert for data engineering and ETL development. I implement robust data workflow orchestration using Apache Airflow and Dagster with pipeline monitoring for data quality and reliability. KEY DATA ENGINEERING & ETL PROJECTS Election Data Pipeline - Python + Dagster data engineering solution extracting campaign finance data. Automated 40 hours/week of manual processing. Real-Time Trading Pipeline - Multi-layer data engineering architecture for algorithmic trading. Achieved <100ms latency, 100% uptime for streaming data. Healthcare Data Migration - Led enterprise ETL migration to GCP BigQuery. Result: 60% faster processing, 50% better performance. ML Feature Engineering - Built end-to-end data pipeline for AirAsia's recommendation system. Processed millions of records, increased engagement 25%. Web Scraping ETL - Automated data engineering solution combining scraping with warehousing using Python and Apache Airflow. DATA ENGINEERING TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt Languages: Python (Expert), SQL (Expert) Cloud Platforms: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, MongoDB, BigQuery, Redshift, Snowflake Python Libraries: Pandas, PySpark, SQLAlchemy, Apache Beam Infrastructure: Terraform, Docker, Kubernetes, CI/CD. IDEAL PROJECTS • ETL pipeline development from scratch (Python, Airflow, cloud platforms) • Data warehouse engineering and cloud migration (BigQuery, Redshift, Snowflake) • Real-time data engineering and streaming ETL implementation • Legacy ETL modernization and data pipeline migration • Web scraping data engineering with ETL workflows • Data integration connecting multiple sources • ML data pipeline engineering for feature engineering LET'S BUILD YOUR DATA ENGINEERING SOLUTION Available for fixed-price data engineering projects and long-term ETL contracts. I work across US, European, and Asian time zones (GMT+7). Ready to discuss your data engineering and ETL needs? Send me a message. I respond within 2 hours during business hours.

Hi, I'm Nana! I've helped businesses migrate email platforms safely, securely, and without downtime for over 20 years. During that time I've also helped them fix spam issues and set up their domain on online platforms. I hold a Microsoft MCSE email specialization and have extensive expertise with Google Workspace, Microsoft 365, and various other email systems. Having founded and managed my own company, I understand the challenges you face. Let me handle the technical side, so you can focus on your core business. My guarantees: No downtime. No emails lost. No data lost. No Junk mail. Post-project validation. Security and privacy. Satisfaction - 7 days post service support. You shouldn't worry about email setup, migration, or delivery issues. Focus on your main tasks and leave all your email worries to me. I have over 20 years of experience with every kind of email system you can imagine and I am certified. Things I can do for you: * Custom domain registration and email setup on - Google Workspace, Microsoft 365, Microsoft Outlook, Zoho Mail, iCloud Mail, cPanel webmail, Fastmail, Bluehost, Godaddy, Rackspace, Proton Mail, Yahoo Mail, Yandex Mail, Namecheap Mail, Zimbra and any other email platform. * Email migration with no downtime. Seamless migration to or from any email platform to another. You emails, your contacts and your calendar items will all be moved. * Verify your domains, setup secondary domains and aliases. * Setup email forwarding * Setup and configure shared mailboxes and shared calendars. * Setup and configure DNS records to avoid spam folder and fix delivery issues: SPF, DKIM, DMARC, TXT, MX, etc. * Configure mail clients like Outlook, Thunderbird, etc. * Configure email marketing tools and provide audits and recommendations to improve ongoing inbox placement and campaign success. I look forward to helping you. If you have any questions message me to discuss.