Title: Analytics Engineer | dbt • SQL • BigQuery | Turning Raw Data into Insights Overview: Having refined my data skills within hyper-scale e-commerce and analytics environments like Amazon and leading enterprise platforms, I bridge the gap between data engineering and business intelligence. I help businesses transform messy SQL queries, broken dashboards, and untrusted data into clean, production-ready, and well-modeled data layers. As an Analytics Engineer, I apply software engineering best practices to data transformation. I don't just write scripts; I build version-controlled, tested, and documented data models using dbt and SQL, ensuring your business analysts and stakeholders always work with a single source of truth. 🛠️ What I Do Best: Data Transformation & Modeling: Designing clean, scalable Star/Snowflake schemas and dimensional data marts. Modern Data Stack (MDS) Implementation: Leveraging dbt (data build tool) to modularize, test, and automate your SQL pipelines. Data Quality Assurance: Implementing rigorous testing, data profiling, and documentation to eliminate "bad data" before it reaches your reports. Cloud Data Warehousing: Optimizing enterprise data warehouses (Google BigQuery) for peak query performance and cost efficiency. 💻 Technical Toolkit: Core: Advanced SQL (CTEs, Window Functions, Query Optimization), Python. Frameworks & Tools: dbt (Core/Cloud), Git/GitHub for version control. Cloud Infrastructure: Google Cloud Platform (BigQuery, GCS), Docker containerization. Big Data Ecosystem: Hands-on experience with Apache Spark for large-scale data ingestion and processing. 🌟 Why Hire Me? I treat data like software. Every model I build is optimized for cost, designed for speed, and documented so clearly that your internal team can manage it effortlessly moving forward. Let's clean up your data debt and unlock the true value of your data infrastructure. Click the "Invite to Job" button, and let’s discuss your project today!

I help businesses turn messy, scattered data into clean pipelines, reliable reporting and dashboards that actually get used for decisions. With 6+ years as a Data Analyst across healthcare and marketing, I build the full path from raw data to insight: Automated ETL/ELT pipelines in Python and SQL, data cleaning and deduplication, transformation logic, and clear dashboards in Power BI. What I can do for you: • Build and automate data pipelines (Python, pandas, SQL) — extraction, cleaning, deduplication and standardized outputs • Design interactive dashboards and reports (Power BI) that translate data into decisions • Social listening & NLP analysis: Process and classify large volumes of text data (sentiment, categorization, entity detection) • Workflow automation (Power Automate) to eliminate repetitive manual reporting • Data quality: Schema standardization, validation logic, and consistent, trustworthy datasets. I currently design NLP-driven social listening pipelines at scale for major LATAM brand campaigns and I've built epidemiological surveillance and automated reporting systems for Colombia's national health sector. I work with dbt, Docker and modern data stack practices, and I communicate clearly in English and Spanish. I care about accuracy, clean deliverables, and hitting deadlines, no hallucinated numbers, no over-promising. If you need someone who can own the data from raw file to final dashboard, let's talk.

I help companies turn data into business value. With a background in Physics and hands-on experience across Analytics, Data Engineering, and Data Architecture, I bring a unique combination of technical depth and business understanding. I don't just build dashboards, pipelines, or data platforms. I focus on solving business problems, improving decision-making, and maximizing ROI. Over the last few years, I have worked with modern data stacks including Snowflake, dbt, Airflow, AWS, Python, SQL, Tableau, and Redshift, delivering solutions that improve operational efficiency, reduce costs, and enable organizations to scale their data capabilities. My experience spans the entire data lifecycle: • Data Analytics & Business Intelligence • Data Engineering & Pipeline Development • Data Modeling & Data Warehousing • Data Architecture & Platform Design • Stakeholder Management & Business Translation What sets me apart is my ability to bridge the gap between technical teams and business stakeholders. I can discuss architecture decisions with engineers in the morning and help executives understand the business impact of those decisions in the afternoon. Whether you need to build a modern data platform, optimize existing processes, create actionable dashboards, or design a scalable analytics architecture, my goal is always the same: deliver measurable business outcomes, not just technical solutions.

I am a Data Engineer and Business Intelligence professional with expertise in data warehousing, ETL development, and SQL optimization. I specialize in building robust data marts and scalable data pipelines using tools like Azure Data Factory, Snowflake, dbt, and SQL Server. My experience includes crafting Silver and Gold Architecture for analytics solutions that drive business performance. I deliver insightful Power BI reports that enable data-driven decision-making. With a solid understanding of data flow procedures and a proficient command of Microsoft 365 applications, I ensure seamless integration and operational efficiency. If you're looking for someone who can transform complex data into actionable insights, let's connect to discuss how I can help elevate your data projects.

Data Engineer with 2+ years of hands-on experience building scalable, production-grade data pipelines on Google Cloud Platform (GCP). I help companies turn raw, messy data from APIs, databases, and files into clean, reliable, analytics-ready models the business can trust. What I can do for you: Build end-to-end ETL/ELT pipelines on BigQuery using Dataform and dbt Ingest data from REST APIs, relational databases (PostgreSQL, MySQL), files, and web sources (Python web scraping) Orchestrate and schedule workflows with Airflow, Cloud Functions, Pub/Sub, and Cloud Scheduler Model analytical layers and Data Mesh domains for performance, governance, and data quality Work across cloud data warehouses (BigQuery and Snowflake) and both GCP and AWS environments Set up monitoring, dashboards, and alerting so your team catches pipeline issues early My core stack: BigQuery, Dataform, dbt, SQL, Python, Airflow, Snowflake, GCP, AWS, PostgreSQL, Docker, Data Modeling. In my current role I've helped evolve a Data Mesh architecture, optimized pipelines processing large data volumes, and built integrations that deliver trustworthy analytics to business teams. I care about delivering data you can rely on — not just code that runs. Whether you need a pipeline built from scratch, an existing one optimized, a tricky SQL/BigQuery problem solved, or data scraped and structured from the web, I'd be glad to help. Let's talk about your project.

I'm Huzaifa, AI Automation Engineer & BSCS Software Engineer with 5+ years building systems that work while you don't. - Automate leads & sales follow-ups - Replace manual workflows (Zapier, Make, n8n, Langchain, LangGraph, CrewAI, OpenClaw, MCP Servers, Custom Agents) - Social media on autopilot - AI chatbots for 24/7 support Startup or enterprise, if a system can do it, I'll build it. 📩 Message me first. Let's fix your biggest bottleneck.

COMMITMENT ⏱️ Response within 24 hours ✅ 100% delivery commitment 🤝 Clear communication and full ownership of your project WHAT I CAN RESOLVE FOR YOU 🔹 Data Engineering & Pipelines Design and build robust ETL/ELT pipelines (batch & real-time) Data ingestion from APIs, databases, third-party platforms Workflow orchestration (Airflow, Prefect, etc.) Data transformation using SQL, Python, dbt 🔹 Data Architecture & Platform Design Design scalable data architectures (Lakehouse, Warehouse, Hybrid) Cloud data platforms (AWS, GCP, Azure) Data modeling (Kimball, Data Vault) Cost optimization & performance tuning 🔹 FinTech Data Solutions Payment, transaction, and ledger data modeling Fraud detection data pipelines Regulatory reporting & compliance data flows KPI frameworks for financial analytics 🔹 MarTech & Customer Data Platforms Customer 360 data architecture Marketing attribution & funnel analytics Integration with CRM, CDP, Ads platforms Event tracking & behavioral analytics pipelines 🔹 Data Strategy & Advisory Data maturity assessment Data roadmap & platform selection Vendor/tool evaluation Data governance & quality frameworks TECH STACK Languages: Python, SQL Data Tools: dbt, Airflow, Spark Cloud: AWS (Redshift, S3, Glue), GCP (BigQuery), Azure Databases: Snowflake, BigQuery, PostgreSQL Other: Kafka, REST APIs, Docker

I am a Data Analyst and BI Developer specializing in transforming complex datasets into actionable insights. With a background in Economics and experience at a government treasury department, I excel in developing analytical solutions that drive strategic decision-making. I created the New Oil Revenue Dashboard, a key Business Intelligence tool for monitoring oil revenues and resource allocation in Rio de Janeiro. My expertise includes SQL, Power BI, Python, and data modeling, enabling me to deliver reliable analytics solutions tailored to specific business needs. I am Microsoft DP-900 certified and eager to leverage my skills to help clients develop scalable data products and enhance their analytics capabilities. If you're looking for a detail-oriented analyst who can effectively translate data into impactful business strategies, I would love to discuss your project.

Hey there, data aficionados! I'm Masiyur Rehman, a seasoned Data Engineer with a passion for harnessing the power of information to drive insights and innovation. With over 6 years of hands-on experience in the ever-evolving realm of data engineering, I've honed my skills and expertise across a myriad of cutting-edge technologies and platforms. 🛠️ Tech Savvy: I'm fluent in the language of data, wielding tools like Azure Data Engineering, PySpark, Databricks, and Azure Blob Storage like a virtuoso. Whether it's wrangling massive datasets, optimizing pipelines for peak performance, or architecting robust data solutions, I thrive in the fast-paced world of modern data engineering. 👨‍💼 Team Leader Extraordinaire: As a seasoned team lead, I've had the privilege of guiding and mentoring a talented cohort of data professionals. For the past two years, I've spearheaded a dynamic project with a team of 25 members, orchestrating seamless collaboration and delivering stellar results every step of the way. 💡 Skill Set Showcase: My toolkit is as diverse as it is comprehensive, boasting proficiency in Python, SQL, Git/GitHub, SSRS, SSIS, Power BI, Google Data Studio, ADF, DBT, and more. Whether it's crafting intricate SQL queries, building dazzling visualizations in Power BI, or automating workflows with Microsoft Power Automate, I'm always ready to tackle any data challenge head-on. 🌟 Passionate Problem Solver: I thrive on the thrill of problem-solving, relishing the opportunity to tackle complex data puzzles with creativity and precision. Whether it's optimizing ETL processes for maximum efficiency, fine-tuning data pipelines for scalability, or troubleshooting issues with laser-focused precision, I'm dedicated to delivering solutions that exceed expectations. 🏆 Results-Driven Leader: At the end of the day, it's all about delivering results that make a tangible impact. Whether it's driving revenue growth, optimizing operational efficiency, or unlocking valuable insights that drive strategic decision-making, I'm committed to delivering measurable outcomes that propel businesses forward.

Bilingual AI-Driven Senior Data Engineer | Cloud, Big Data & Analytics Architect I’m a bilingual (English / Spanish) AI-driven Data Engineer with 6+ years of hands-on experience designing, building, and modernizing scalable data platforms that turn raw data into real business value. I specialize in end-to-end data engineering and analytics, from on-premise migrations to cloud-native architectures, always with performance, cost optimization, and governance in mind. What I Do Best Data Engineering & Architecture Design robust, scalable data architectures for analytics and AI Build modern Lakehouse and Warehouse solutions (Bronze / Silver / Gold) Optimize performance, storage, and compute costs Cloud & Migration Expertise On-prem ➜ Cloud migrations Cloud ➜ Cloud migrations Platforms: AWS & Azure Technologies: Snowflake, ClickHouse, Databricks, Data Build Tool (DBT), Fabric Analytics & BI Advanced Power BI modeling (DAX, semantic models) Reporting layers built for decision-makers, not just dashboards Strong focus on data quality, trust, and usability Data Pipelines & Orchestration Batch & near-real-time pipelines using Python, Spark, SQL Transformation frameworks with dbt Workflow orchestration with Airflow 🛠️ Tech Stack Data & Analytics Power BI (DAX), SQL, Python, Spark, dbt Data Platforms Snowflake, ClickHouse, Databricks Cloud AWS, Azure Orchestration & Automation Airflow Legacy & Migration Experience QlikView, on-premise data warehouses, hybrid architectures Beyond the Code What sets me apart is that I don’t just “build pipelines”: ✔️ Strong experience working directly with clients and providers ✔️ Comfortable leading and coordinating technical teams ✔️ Skilled at translating business needs into technical solutions ✔️ Proven track record delivering solutions that actually impact business outcomes I understand priorities, deadlines, and budgets—and I communicate clearly at both technical and executive levels. Ideal Projects Data platform modernization Snowflake / ClickHouse migrations BI & analytics enablement (Power BI, semantic layers) Cloud data architecture design ETL / ELT optimization AI-ready data foundations Let’s Work Together If you’re looking for a senior data engineer who thinks like an architect and delivers like a hands-on builder, let’s talk. I bring clarity to complex data problems—and results you can measure. Message me to discuss your project.