I've spent 15+ years as a Senior Data Platform Engineer building and maintaining production reporting systems for multi-tenant SaaS and industrial environments. I help data-intensive SaaS companies modernize and stabilize large database systems by optimizing slow SQL, execution plans, indexing strategies, ETL workflows, and warehouse performance across PostgreSQL, MySQL, Snowflake, and SQL Server. My strongest work is in performance-heavy environments where reporting, analytics, pricing logic, monitoring, and automated decision-making depend on clean, fast, reliable data. I have optimized long-running production queries, redesigned indexing and archival strategies, improved ETL/data synchronization flows, and supported modernization of large operational databases without disrupting live products. 𝗪𝗵𝗮𝘁 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘀𝗮𝘆: "Optimized our data models and indexing strategy, cutting report generation time while rolling out to new clients with zero issues." "Built and owned the automated publishing pipeline that now reliably serves our full client reporting fleet." "Clear ownership and proactive monitoring during our platform modernization - exactly the engineer we needed." 𝗦𝗤𝗟 𝗦𝗲𝗿𝘃𝗲𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 ✔ Design and optimize complex queries, views, stored procedures, and data models for large-scale production reporting ✔ Execution plan analysis, indexing strategy, and performance tuning across multi-tenant environments ✔ Lead SQL Server version migrations and schema modernization with full compatibility and regression testing ✔ Maintain and extend optimized view/indexing architectures mid-rollout while preserving stability 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 & 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 ✔ Operate and extend GitHub-based workbook duplication/publishing pipelines using Python, REST APIs, and GitHub Actions ✔ Manage extract scheduling against production OLTP databases and minimize refresh load ✔ Maintain and deploy Tableau workbooks across dev/UAT/production supporting ~100 per-client reports ✔ Tableau Server administration, extract monitoring, and proactive root-cause resolution for failures or degradation ✔ Support smooth transition of reporting workloads to in-app platforms while keeping Tableau reliable 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗖𝗿𝗼𝘀𝘀-𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 ✔ Implement proactive monitoring (New Relic / equivalent) to detect and resolve issues before client impact ✔ Strong troubleshooting with clear communication to technical and business stakeholders on performance and risk ✔ Collaborate with Data Engineering, Infrastructure, and domain experts during platform migrations and architectural decisions 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 ✔ Full end-to-end ownership of production reporting stacks - SQL optimization, automation pipelines, and operational reliability ✔ Proven experience with multi-tenant client reporting environments and regulated industrial data (directly applicable to healthcare compliance) ✔ Deep expertise in database migrations, Python/GitHub automation, and performance tuning - exactly the skills for your SQL Server modernization ✔ Licensed P.Eng with 15+ years delivering stable, high-trust production systems with clear ownership and honest timelines I work best with teams modernizing SQL Server environments or scaling Tableau operations who need a hands-on engineer to complete remediation work, stabilize the platform, and keep reporting fast and trusted. Send me a message with your current migration status and pipeline pain points - I’ll outline exactly how I’d approach finishing the work with zero client impact. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: PostgreSQL, MySQL, Snowflake, Yellowbrick-compatible warehouse tuning, execution plan analysis, query rewrites, indexing, memory tuning, ETL optimization, large data footprints, SaaS modernization, pricing analytics, eCommerce intelligence, brand monitoring data.

Data Engineer | Snowflake | dbt | SQL | ETL Pipelines Data Engineer with 9+ years of experience in ETL development and data transformation. I specialize in Snowflake and dbt, building scalable data pipelines and analytics-ready data models. Experienced in on-prem to cloud migrations, including moving legacy ETL workflows to Snowflake with optimized performance. My work includes: • End-to-end pipelines (staging → intermediate → marts) • Fact & dimension data modeling • Incremental data loads using dbt • SQL optimization and performance tuning • Data validation and audit logging Skilled in Snowflake, dbt, SQL, and Informatica. I help businesses build clean, reliable, and scalable data systems.

I specialize in building and optimizing scalable ETL/ELT pipelines and cloud-based data platforms with over 5 years of experience. My expertise in SQL, Python, and PySpark, combined with hands-on knowledge of AWS services like S3, Glue, and Redshift, allows me to design robust data architectures that enhance decision-making processes. I excel in data modeling, workflow orchestration using Airflow, and implementing data quality validation and governance practices. My proven track record includes successfully processing large datasets and creating reliable data pipelines that empower teams to derive actionable insights. If you're looking for a data engineer who can transform your data management practices and support your analytics needs, I would love to discuss your project and how I can contribute to your success.

Data professional with6+ years of experience delivering data engineering, analytics, and business analysis solutions across the airline, banking, and IT industries. SnowPro Core Certified Data Engineer, experienced in designing and maintaining ELT/ETL pipelines using Snowflake, dbt, Python, SQL, Airflow, Databricks, and AWS. Skilled in data modeling, data warehousing, performance optimization, data quality, reporting, and automation. Core Skills: Snowflake, dbt, SQL, Python, Airflow, Databricks, AWS, Terraform, Git, AWS, GCP, CI/CD, ETL/ELT Pipelines, Data Warehousing, Data Modeling, Business Analysis, Requirement Gathering, BRD, FRD, User Stories, Use Cases, Manual Testing, UAT, Documentation, Power BI, Problem Solving, and Stakeholder Management.

I’m an experienced data engineer who builds scalable data platforms for analytics. and decision-making. With 5+ years of experience in data engineering, I’ve worked on designing, optimizing, and maintaining end-to-end data workflows — from ingestion to transformation and delivery. I focus on building systems that are efficient, maintainable, and production-ready. I’ve worked across different environments and tech stacks, allowing me to adapt quickly to project requirements and choose the right approach rather than forcing a specific tool. What I can help you with: * End-to-end ETL/ELT pipeline development * Data warehouse design and data modeling * Pipeline optimization and performance tuning * Debugging and improving existing data workflows * Ensuring data quality and reliability If you need someone who can understand your data problems and build scalable, practical solutions, I’d be happy to help.

If your data exists but your team can't act on it, that's the gap I close. I build end-to-end BI solutions: from data pipelines to production dashboards. My core stack is Looker/LookML, Power BI, BigQuery, Python, and dbt. I've delivered 17+ Looker dashboards in production, built NetSuite to Python to Power BI pipelines for supply chain operations, and led a 5-person BI team serving 10+ stakeholders. What I bring beyond technical execution: I think in systems. I design data models that scale, build pipelines that don't break, and deliver dashboards that stakeholders actually use. I work best with companies that need someone who can own a BI initiative end-to-end , from requirements gathering to production deployment.

Struggling with unreliable data pipelines or messy data quality🤯⁉️ I build robust data pipeline systems ⚒️ that transform raw data into clean and reliable datasets for your business decisions 💸with 2+ years proven expertise. WHY CHOOSE ME ⚡ Lightning-Fast Delivery: Complete projects fast 💰 Cost-Effective Solutions: Save data infrastructure costs through smart architecture choices 🗣️ Crystal Clear Communication: Daily progress updates + 24/7 availability across all time zones 📈 Proven Track Record: 100% project success rate with data quality guaranteed 🛠️ Modern Tech Stack: Latest tools and frameworks for future-proof solutions 🕐 Rapid Response: < 2 hours response time, even on weekends WHAT I CAN DO & HOW FAST? ✅ ETL/ELT Pipeline Development - Automated data workflows with error handling (1-2 weeks) ✅ Real-Time Data Processing - Live streaming analytics with Kafka/Spark (1-2 weeks) ✅ Data Warehouse Architecture - Scalable cloud solutions (AWS/GCP/Azure) (1 week) ✅ Data Quality & Validation - Automated testing and monitoring systems (1 week) ✅ Database Optimization - Performance tuning for 10x speed improvements (1-2 weeks) ✅ Data Migration & Integration - Seamless multi-source consolidation (1-2 weeks) ✅ Analytics Dashboard Setup - Interactive visualizations with Power BI/Other Tools (1 week) ✅ Pipeline Optimization - Reduce processing time and cloud costs (1-2 weeks) CORE TECHNICAL SKILLS ⭐Languages: Python, SQL, Scala ⭐Database: PostgreSQL, MySQL, SQL Server, Clickhouse ⭐Core: Apache Spark / PySpark, Apache Airflow, Apache Kafka, Apache Flink, DBT ⭐Clouds: AWS (Redshift, Glue, S3), GCP (BigQuery, Dataflow), Azure (Synapse, Databricks) ⭐Visualization: Tableau, Power BI, Looker Studio, Garfana, Apache Superset ⭐Other: Docker, Git, Terraform, Apache Iceberg, Debezium Ready to solve your data challenges? 📩 Click 'Message' now for a FREE 15-minute consultation where we'll discuss your specific challenges and create a custom roadmap for success. Available within 2 hours! 🔑𝐊𝐄𝐘𝐖𝐎𝐑𝐃𝐒: Python, SQL, Machine Learning, Data Analysis, ETL Pipeline, Amazon Web Services, ETL, Data Science, Apache Spark, Data Scraping, Data Visualization, Big Data, Tableau, Data Engineering, ETL Pipeline, ELT Pipeline, Data Pipeline Development, Apache Spark, PySpark, Apache Kafka, Apache Airflow, Data Warehouse, AWS Data Engineer, Azure Data Engineer, GCP Data Engineer, Python Developer, SQL Expert, Big Data Engineering, Data Integration, Data Migration, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, AWS Glue, Azure Data Factory, Google Dataflow, dbt Transformation, Data Quality, Real-time Processing, Batch Processing, Cloud Data Architecture, AI Data Pipeline, RAG Pipeline, LangChain, Vector Database, AI Integration, n8n Automation, Zapier Integration, Make.com, Workflow Automation, API Integration, LLM Data Processing, GenAI Data Solutions, Machine Learning Pipeline, MLOps, Pinecone, Weaviate, ChromaDB, OpenAI API, Embedding Pipeline, AI Workflow, Data Automation, Remote Data Engineer, Freelance Data Engineer.

I am a Data Architect and Engineer with over 13 years of experience in designing and implementing scalable analytics platforms. My expertise lies in modern cloud data stacks, particularly with Snowflake, dbt, and AWS. I focus on delivering high-quality, governed data architectures while ensuring seamless CI/CD integration. I have successfully led complex data initiatives in regulated environments and have a proven record of migrating legacy BI systems to robust, reusable data models. If you're seeking a skilled professional who can transform your data landscape and drive meaningful insights, let's discuss your project and how I can contribute to your success.

Need data scraped from any websit, even ones that require login, render JavaScript, or block bots? You've found the right person. I build Python-powered scrapers, automation bots, and live dashboards that turn raw web data into clean, structured output. Whether it's Selenium for dynamic pages, Scrapy for large-scale crawls, or a Plotly dashboard to visualise it all. I handle the full pipeline. What you get: clean code, on-time delivery, and a developer who actually communicates.

I'm a data engineer specialising in building clean, reliable data infrastructure for fast-moving startups and media businesses — without the overhead of a full data team. I've worked across the full data stack: designing Postgres schemas, building ETL pipelines, wiring up GA4 and BigQuery, and delivering Looker Studio dashboards that non-technical stakeholders can actually use. Most recently, I've been the sole data engineer at a SaaS startup in the publishing industry, owning everything from ingestion to reporting — so I understand what it means to work lean and deliver fast. What I can help you with: - ETL pipeline design & automation (Python, Prefect, Airbyte) - Data warehouse setup & optimisation (BigQuery, PostgreSQL) - Analytics engineering (dbt, SQL views, reporting schemas) - BI dashboards (Looker Studio, GA4 integration) - Data audits — map what you have, fix what's broken, build what's missing - API connectors & data ingestion layer design I work well with engineering teams (comfortable in monorepos, TypeScript-heavy stacks, and modern tooling like Drizzle ORM) and I communicate clearly with non-technical founders and stakeholders. If you're a startup that's drowning in raw data but not getting value from it — that's exactly the problem I solve. Let's talk.