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.

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

🌟 Top-Quality Data Solutions | Reliable Delivery | Client-Focused Approach | Production-Ready Pipelines 🚀 I help businesses transform raw data into trusted, scalable, and actionable insights by building modern cloud data platforms and automated data pipelines. 💡 What I Can Help You With ✅ Snowflake Data Warehouse Development & Optimization ✅ End-to-End ETL/ELT Pipeline Development ✅ Data Migration to Snowflake & Cloud Platforms ✅ AWS S3 to Snowflake Integration & Automated Data Loading ✅ dbt Transformations (Staging, Intermediate, Mart Models) ✅ Matillion Pipeline Development & Orchestration ✅ Fivetran Data Ingestion & CDC Pipelines ✅ Airflow DAG Development & Workflow Automation ✅ Snowpipe, Streams, Tasks & Continuous Data Loading ✅ Complex SQL Development, Query Tuning & Performance Optimization ✅ Data Modeling (Star Schema, Medallion Architecture) ✅ Data Quality Frameworks, Testing & Documentation ✅ JSON, CSV & Semi-Structured Data Processing ✅ Stored Procedures, Views, Secure Views & Data Sharing Solutions 🛠️ Tech Stack ☁️ Snowflake 🗄️ SQL | Oracle SQL | MSSQL 📦 AWS S3 🔄 dbt (Core & Cloud) ⚙️ Matillion 🔗 Fivetran 🚀 Airflow 📊 Data Modeling & Performance Tuning 🌍 Domain Experience 💊 Life Sciences 🏨Hospitality 👥 HR & Workday Analytics 🛡️ Insurance 💹 Finance & Business Analytics 🌟 Why Clients Work With Me ✔️ Clean & Scalable Solutions ✔️ Production-Ready Pipelines ✔️ Strong Communication & Timely Delivery ✔️ Attention to Data Quality & Performance ✔️ Independent Problem Solver ✔️ Long-Term Support & Documentation 🚀 Let's build reliable, scalable, and high-performing data solutions together. Send me a message, and I'll help turn your data challenges into business value!

👋 Hi! I’m a Python Data Engineer & Data Visualization Expert at GroupBWT - a 100+ person data engineering company and official AWS, Snowflake & Databricks partner, building enterprise data systems since 2009. I architect scalable ETL/ELT pipelines and transform complex, multi-source data into reliable, executive-ready dashboards. Here’s how we support our clients: ✅ Our ETL pipelines process over 100 million records monthly across major cloud data warehouses ✅ My solutions reduce manual reporting effort by up to 80% through end-to-end automation ✅ We build Python-powered workflows for integrating, cleaning, and modeling complex datasets ✅ Every pipeline is tested and quality-checked to meet enterprise data standards 🔁 What I Do ⚙️Data Engineering 🔹API & event-based ingestion 🔹Python + SQL transformations 🔹Data modeling, schema design, enrichment 🔹ETL/ELT into Snowflake, Databricks, BigQuery 🔹Monitoring, retries, observability & data quality testing 🔹CI/CD for pipelines & cost optimization in cloud Platforms I’ve delivered process 100M+ records/month, integrate 30-80+ APIs, and power real-time BI environments. 📊 Data Visualization & BI 🔹I bridge raw data with business decisions 🔹Power BI, Looker Studio & Tableau dashboards 🔹Executive KPI reporting 🔹Semantic layer & metric standardization 🔹Real-time reporting (<5 min latency) 🔹BI performance optimization 🔹Data storytelling for leadership & operations My solutions reduce manual reporting effort by up to 70-80% and significantly improve forecasting accuracy. 🧩 Recent Experience 🔹Retail & eCommerce Data Warehousing Built ingestion + normalization pipelines for 120+ eCommerce sources, syncing ~500K SKUs/day into Snowflake / BigQuery. Implemented product matching, deduplication, schema standardization, and incremental updates to keep analytics tables stable for BI. 🔹FinTech Ingestion & Reporting Layer Delivered an automated pipeline that pulls data from 30+ external/internal sources (APIs, DBs, files), applies validation rules and transformations, and loads curated datasets for financial reporting and near-real-time dashboards. Focus on accuracy, auditability, and consistent metric definitions. 🔹Government ETL & Document Processing Automated processing of 10K+ documents/day (PDFs + structured files): extraction, classification, field mapping, and loading into a unified database. Added monitoring, error handling, and QA checks so ops teams don’t manually reconcile data. 🔹Healthcare Data Normalization & Compliance Cleaned and standardized millions of records across fragmented healthcare datasets: schema mapping, PII-aware handling, validation, and reproducible transformations. Produced “analytics-ready” layers with clear lineage and quality controls for compliance-driven reporting. 🔹Large-scale Cloud Migrations Migrated legacy reporting from MSSQL + Excel into BigQuery/Snowflake: rebuilt data models, implemented incremental loads, replaced spreadsheet-based workflows with automated pipelines, and delivered dashboards that refresh on schedule. 💻 Tech Stack ⚙️Languages: Python, SQL, DAX, Power Query, PySpark, Scala, Bash/Shell, JavaScript, etc. ⚙️Data Engineering & Processing: PySpark, dbt, Airflow, Prefect, CDC, REST & GraphQL, etc. ⚙️Data Warehouses & Databases: Snowflake, Databricks, BigQuery, AWS, PostgreSQL, MSSQL ⚙️Cloud Platforms: AWS: S3, Glue, Lambda, CloudWatch, Athena, Redshift, BigQuery, Dataflow ⚙️Data Modeling & Architecture: Star schema, Snowflake schema, Lakehouse architecture, etc. ⚙️Monitoring & Data Quality: dbt, Prometheus, Grafana, AWS CloudWatch, GCP Monitoring, etc. ⚙️BI & Visualization: Power BI (Desktop, Service), Tableau, Looker Studio, Metabase, etc. ⚙️DevOps & CI/CD: Git, GitHub, GitLab CI, Docker, Terraform, etc. 🚀 If you need automated pipelines, clean data models, and executive-level dashboards - let’s connect. ➡️ Invite me to your job and let’s design a robust data strategy with a Data Engineer leading the way.

Senior 𝔸𝕀/𝕄𝕃 ℝ𝕖𝕤𝕖𝕒𝕣𝕔𝕙𝕖𝕣 𝕒𝕟𝕕 𝕃𝕃𝕄 𝕋𝕣𝕒𝕚𝕟𝕖𝕣, I specialize in delivering AI-powered solutions and data-driven insights that help businesses innovate, optimize processes, and make informed decisions. 💡 What I Offer: ✅ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Your data deserves to be accurate, reliable, and ready for analysis. ✅ 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗼𝗿𝘆 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 (𝗘𝗗𝗔): Discover hidden patterns and trends to make data-driven decisions. ✅ 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Create visually appealing dashboards and reports with tools like Tableau and Power BI. ✅ 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Leverage Machine Learning to forecast trends and opportunities. ✅ 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Understand and predict trends, seasonality, and anomalies. ✅ 𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Gain insights from text data to understand customer opinions and behavior. ✅ 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 𝗗𝗮𝘁𝗮 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Extract valuable insights from Telegram channels for targeted analytics. ✅ 𝗟𝗟𝗠 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 / 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: prompt + rubric design, dataset QA, structured outputs with citations (where needed) ✅ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲: Mobile app testing, Web testing, Bug reports, Software functionality testing ⚙️ Tools & Skills: Programming: - Python 📌Pandas 📌NumPy 📌Scikit-learn 📌TensorFlow 📌PyTorch - SQL - Airflow/dbt/Spark - Docker Visualization Tools: 📌Tableau, 📌Power BI, 📌Matplotlib, 📌Seaborn 📌PCA Specialized Skills: 📌ETL pipelines 📌Time Series Forecasting 📌Data Mining 📌 Sentimental Analysis 📌Change Point Analysis 📌Prompt Engineering 📌LLM Training 📌Quality Assurance 🌟 Why Work with Me? I’m dedicated to providing high-quality results with attention to detail, clear communication, and a focus on delivering solutions that align with your business goals. Ready to transform your data into business success? Let’s collaborate and make data work for you!

Hi, I'm Adira , If you're looking for a Data Engineer who can build reliable, scalable, and production-ready data pipelines, I'd be happy to help. With 5+ years of experience, I've worked with enterprise clients to design modern data platforms, migrate legacy systems to the cloud, and transform raw data into reliable business insights. My expertise spans the complete data engineering lifecycle—from ingestion and transformation to orchestration, optimization, and reporting. What I can help you with: ✔ End-to-end ETL/ELT pipeline development ✔ Databricks (PySpark, Delta Lake, Spark SQL) ✔ Snowflake Data Warehousing & Performance Optimization ✔ Azure Data Factory & Workflow Automation ✔ DBT Data Modeling & Transformations ✔ SQL Development & Query Optimization ✔ Azure & AWS Cloud Data Solutions ✔ SAP Data Integration & Cloud Migration ✔ Data Quality, Validation & Incremental Loading Throughout my career, I've contributed to enterprise projects for global organizations, helping modernize legacy data platforms, and build scalable analytics solutions that improve performance, reduce costs, and support better business decisions. I believe successful projects are built on clear communication, clean code, reliable delivery, and long-term maintainability. Whether you need a complete data platform, an optimized pipeline, or help troubleshooting an existing solution, my goal is to deliver work that's robust, efficient, and easy to maintain. Let's discuss your project and build a data solution that scales with your business.

Data Solution Provider and Mid-Senior Data Engineer with over 2 years of experience building robust data pipelines, covering extraction, transformation, cleansing, and migration processes. 3x Professional Google Cloud certified, and proficient in Airflow, Dataflow, DBT, Terraform, and Git/GitLab for efficient data processing and infrastructure management. Skilled in seamless data integration and workflow orchestration across GCP, Azure, and Databricks, as well as in creating impactful data visualizations using Power BI and Looker. Expertise and Skills: Data & Databases: • Data Integration • Data Modeling & Dimensional Modeling • Data Warehouse Design • Data Lineage & Governance • Data Quality Assurance • Database Management • Data Validation and Quality Control Data Pipelines: • Batch Processing • Design and Development of Data Pipelines • ETL/ELT Pipeline Implementation • Orchestration Cloud Platforms: • Cloud Infrastructure Deployment (AWS, GCP, Azure) • Monitoring and Performance Optimization • Security and Compliance Management • Containerization and Orchestration (Docker, Kubernetes) • Disaster Recovery and Backup Strategies Tools and Technologies: • Pandas • NumPy • PySpark • dbt (Data Build Tool) • BigQuery (GCP) • Google Dataflow • Google Cloud Storage (GCS) • Google Pub/Sub • Google Cloud Composer (Managed Airflow) • Looker • Apache Airflow • Data Analysis • Microsoft Power BI • Microsoft Azure • Azure Data Factory • Azure Synapse Analytics • Azure Blob Storage • Databricks Platform (Azure Databricks & GCP Databricks) • Cloud Platform Administration (GCP & Azure) Visualization Libraries: • Matplotlib • Seaborn • Plotly Machine Learning Libraries: • Scikit-learn • XGBoost • TensorFlow Infrastructure and Cloud Services: • Infrastructure as Code (Terraform, CloudFormation) • Cloud Resource Management and Scaling Programming Languages: • Python • SQL

As a Databricks Certified Data Engineer Associate with 4+ years of experience, I help businesses design, build, and optimize modern data platforms that turn raw data into actionable insights. I specialize in developing scalable ETL/ELT pipelines, cloud-based data lakes, lakehouse architectures, and real-time data processing solutions using Azure, AWS, Databricks, Spark, Python, and SQL. I have successfully delivered data engineering solutions for banking, fintech, and enterprise clients involving: ✔ Data Lake & Lakehouse Implementations ✔ Azure Databricks Development ✔ Apache Spark & PySpark Processing ✔ ETL/ELT Pipeline Development ✔ Azure Data Factory (ADF) ✔ AWS Glue, S3 & Redshift ✔ Delta Lake Optimization ✔ Apache Airflow Orchestration ✔ DBT Transformations ✔ CDC & Real-Time Streaming ✔ Data Warehousing Solutions ✔ Data Governance & Data Quality ✔ Denodo Data Virtualization What I Can Help You With Build end-to-end ETL/ELT pipelines Design scalable Lakehouse architectures Migrate legacy ETL systems to Databricks Implement Delta Lake best practices Develop real-time streaming pipelines Create cloud-native analytics platforms Optimize Spark performance and costs Build Data Warehouses and Data Marts Implement Data Governance frameworks Develop Airflow and DBT workflows Why Clients Work With Me ✅ Databricks Certified Data Engineer Associate ✅ Strong expertise in Azure & AWS ecosystems ✅ Banking and enterprise data engineering experience ✅ Performance optimization and cost reduction focus ✅ Clean, maintainable, production-grade solutions ✅ Strong communication and documentation skills If you're looking for a reliable Data Engineer to build scalable, high-performance data platforms, let's discuss your project.

I am a Senior Data Engineer with 6 years of experience in creating scalable and reliable data systems that convert raw data into actionable insights. I specialize in data modeling, pipeline orchestration, and analytics engineering within Snowflake, GCP, and AWS environments. My focus is on performance optimization and ensuring data quality. I excel in developing DBT models, automating workflows with Airflow and Python, and integrating data across cloud platforms, all of which enhance business intelligence and facilitate decision-making. My unique ability to bridge engineering with analytics empowers teams to transition from mere data collection to deep data understanding. If you need a data expert who can design robust solutions and drive impactful results, let's connect to discuss your project.

Hi, I'm an experienced Data Engineer with over 4 years of expertise in building and optimizing data pipelines, ETL processes, and data architecture to support real-time data processing and analytics. In addition, I specialize in web scraping and automation using Selenium, helping businesses collect and analyze data from the web efficiently. I bring a robust understanding of cloud platforms, data engineering, and web scraping techniques to deliver scalable, efficient data solutions tailored to your needs. What I Can Offer: 1. End-to-end ETL (Extract, Transform, Load) processes for seamless data flow. 2. Building data pipelines using Apache Spark, Airflow, Kafka, DBT, and other big data tools. 3. Data modeling for relational (SQL) and NoSQL databases. 4. Cloud Data Engineering: AWS (S3, Lambda, Redshift), GCP (BigQuery, Dataflow). 5. Web Scraping and automation using Selenium, BeautifulSoup, and Scrapy. 6. Creating automated workflows for data collection from websites, APIs, and third-party sources. 7. Data Warehousing and data lakes on platforms like AWS Redshift, Snowflake, and BigQuery. 8. CI/CD pipelines for automated data processing and deployment. 9. Python scripting for automation, data transformation, and scraping tasks. Tools & Technologies: Languages: Python, SQL, Bash, Scala. Web Scraping & Automation: Selenium, Beautiful Soup, Scrapy. Data Processing: Apache Spark, Airflow, Kafka, Hadoop, DBT. Cloud: AWS, GCP, Azure. Databases: MySQL, PostgreSQL, MongoDB, Redshift, Snowflake. CI/CD: Jenkins, Git, Docker, Kubernetes. Projects: 1. Developed a real-time data pipeline processing over 1 TB of data daily for an e-commerce platform using Apache Spark and AWS Redshift. 2. Automated web scraping for competitive pricing data, reducing manual effort by 80%, using Selenium and BeautifulSoup. 3. Built an ETL pipeline that integrated with external APIs and web sources for a finance firm, leading to a 40% increase in data collection efficiency. Why Work With Me?: Tailored Solutions: My approach ensures that every solution aligns with your business goals. Automation Expertise: Save time and resources with efficient web scraping and data automation. Transparent Communication: Clear and regular updates ensure smooth project execution. Efficiency: My optimized data pipelines and scraping solutions save time and reduce costs. Ready to optimize your data processes or automate your web data collection? Message me today!