Senior Data Engineer with more than 5 years of professional experience in Cloud Data/Software Engineering in major Nordics companies. - built end to end Data Analytics platforms on cloud for multiple companies in US and Europe (as a DE Consultant in major Data Service Provider) - developed data intensive streaming applications for various data realms (as a DE Consultant in major Data Service Provider) - set up Infrastructure on Cloud for the whole Data Analytics Platform including CI/CD (as a DE in Igaming company ) - developed Data Intensive applications and engines for customer retention , communication and loyalty programs (as a DE in Igaming company ) Main Areas of Expertise: - Analytical Platform on Cloud - Analytical Platform on Cloud with Data Lakehouse - Data Integration (streaming and batch) - Data applications for any usecase - Data Ops

I’m a Senior Data Engineer and Python Developer with 9+ years of experience designing and building robust, scalable data pipelines and backend services that transform raw data into actionable insights. My work helps clients streamline their data workflows, enable data-driven decision-making, and optimize business processes. I specialize in eCommerce and advertising data, including integrations with Amazon Ads API (Sponsored Products & Sponsored Brands) for campaign performance tracking, attribution modeling, and bid optimization. I also handle multi-source data ingestion from APIs, CSV/JSON/XML files, web scraping, and OCR pipelines. My services include: ✅ Designing and developing ETL/ELT pipelines for large-scale, multi-source data ✅ Building custom Python scripts for data processing, automation, and analytics ✅ Creating backend services and APIs using Flask for data-driven applications ✅ Rapid prototyping and Streamlit apps for internal tools and dashboards ✅ Deploying containerized applications with Docker for consistent environments ✅ Orchestrating workflows with Apache Airflow/Prefect ✅ Leveraging AWS services including S3, Lambda, Kinesis, Redshift, and RDS ✅ Integrating Amazon Ads API and building marketing analytics pipelines With me, you will: ★ Gain confidence in your data solutions ★ Move past roadblocks and start implementing scalable systems ★ Turn raw data into analytics-ready, actionable insights ★ Leverage my expertise in Python, ETL, AWS, and AdTech to grow your business My tech stack: Python, SQL, Flask, PostgreSQL, MySQL, NoSQL, Apache Airflow, Prefect, Docker, AWS, Amazon Ads API, Streamlit, Plotly, HuggingFace, OCR, Web Scraping Let’s collaborate to turn your data into a strategic advantage. I guide you from concept to production, ensuring high-quality, reliable solutions every step of the way.

I am one of the Top Rated Data Engineer specialists on Upwork. My sophisticated hand-crafted Dataware house/Report/Dashboard design will save your organization significant time, money, and performance. My area of expertise, ✅ Data Modeling (Relational & Dimensional) ✅ Database & DWH Architecture, Design & Development ✅ ETL Architecture, Design & Development (SSIS) ✅ Multidimensional cube Architecture, Design & Development (SSAS) ✅ Printed Report using SQL Server Reporting Services (SSRS) ✅ Power Platform (Power Pivot, Power BI, Power Apps, Power Automate) ✅ MS Azure (SQL DB, Data Factory, Data Lake) I am a serious professional with over 12+ years of experience as a programmer and database specialist. My emphasis has been on creating elegant Normalized/De Normalized database design integrated with user-friendly front-end software (desktop and web applications). I specialize in Business Intelligence and Analytics. It means I have an expert level in creating custom reports from Sales, Purchasing, Inventory, Banking to Financial using any BI Tool and with any Data Sources supported by (Power BI, SSRS, Tableau, Crystal Reports) I also create reports for other External ERP system like(Sage, Misys, Ramco ERP, SalesForce, Quick Book) In my case, I fully understand 100% any database structure(tables and fields) and other technical aspects such as UDT and UDF, validation triggers, simple to complex stored procedures, views, and T-SQL and ETL(SSIS) A detailed-oriented person who loves what I do, can deliver, a fast worker, and able to multitask awaits your invite. INVITE ME TO YOUR JOB!!! less than 5 hrs response time Do Read my Feedback Rite Below.

Unlocking Insights from Data: Transforming Complexity into Clarity | Data Analyst and Engineer My expertise lies in the development, implementation, and maintenance of data-driven solutions. I have successfully designed, developed, and implemented data warehouse solutions for various organizations across different industries. I possess a deep understanding of the data analysis process and am skilled in data modeling, data cleansing, and extracting insights from large datasets. My technical skills include working knowledge of a variety of data processing and analysis tools, such as Python, R, SQL, and Tableau. I have worked with a variety of datasets from different sources, such as relational databases, NoSQL databases, and flat files. I am also familiar with cloud-based data solutions, such as Amazon Web Services and Google Cloud Platform. I am detail-oriented and have the ability to quickly identify and address any issues that may arise during the development and implementation of the data solutions. I have excellent communication and problem-solving skills, and am able to work independently or as part of a team. I am passionate about data and am always looking to learn more. I am confident that I can leverage my experience, expertise, and knowledge to help organizations achieve their data-driven goals. Technical Skills & Tools: • Programming : Python (Pandas, Numpy, PySpark, Seaborn, Selenium, BeautifulSoup) • Business Intelligence : Power BI, Tableau, Google Data Studio, Metabase • SQL (ETL, JOINs, Views, Stored Procedures, Subqueries, CTEs), • Excel (VLOOKUP, Pivot Tables, Conditional Formatting, Power Query) • DBT (Macros, Jinja) • Airflow : Data pipeline orchestrator • Docker : Containerization • Terraform : Infrastructure-as-Code (IaC) • Google Cloud Platform (GCP) : Cloud-based auto-scaling platform by Google • Google Cloud Storage (GCS) : Data Lake • BigQuery: Data Warehouse

I'm Maaz, a Data Engineer and Analytics Specialist with 10+ years of experience building end-to-end data infrastructure for businesses that need more than pretty charts. I've designed and deployed cloud-scale data systems across manufacturing, energy, education, and enterprise environments. My work turns fragmented, messy data into structured pipelines, reliable warehouses, and dashboards your stakeholders actually use to make decisions. Whether you need a pipeline built from scratch, a broken ETL fixed, or a BI layer that finally gives your team clarity, I've done it, and I can do it for you. Services Here's what I deliver: ✅ ETL/ELT Pipeline Design and Automation (DBT, Airflow, Fivetran) ✅ Cloud Data Warehouse Architecture (Snowflake, AWS, SQL Server) ✅ BI Dashboard Development (Power BI, Tableau) ✅ Data Integration across multiple sources (SAP, Azure, Google Analytics, Dataverse) ✅ AI/ML-based Forecasting and Predictive Analytics (Python) ✅ Data Governance, Quality Audits, and Pipeline Optimization ✅ Ongoing Data System Maintenance and Support Expertise - Cloud and Warehousing: Snowflake, AWS (S3, Glue, Redshift), SQL Server, Azure - Pipeline and Transformation: DBT, Apache Airflow, Fivetran, Python - BI and Visualization: Power BI, Tableau - Integration: Google Analytics, SAP, Dataverse, REST APIs - AI/ML: Python (Pandas, Scikit-learn, NumPy), forecasting models, anomaly detection Industries I've built data systems in: Manufacturing | Energy | Education | Enterprise SaaS | Healthcare | E-Commerce I don't just understand data. I understand what matters in each industry, and I build for it. Why Work With Me - You've probably worked with data freelancers who hand you a dashboard and disappear. That's not how I operate. - I work closely with your technical and business teams to understand your KPIs, your pain points, and what "actionable insight" actually means for your organization. Then I build for reliability, scalability, and ROI, not just for submission. What makes me different: - Fluent in both tech and business strategy, no translation needed - Enterprise-grade experience with startup-speed execution - Strong project management and clear communication throughout Education and Experience Master's Degree in Computer Science, specialization in Machine Learning, Big Data, and AI 10+ years of hands-on experience across Data Engineering, Analytics, and Business Intelligence Clients served across North America, Europe, and APAC in complex, multi-stakeholder environments If your data pipeline is broken, your dashboards are unreliable, or you simply don't know what your data is telling you, let's fix that. Send me a message with a brief description of your project. I'll respond within 24 hours with a clear path forward. 📩 Let's build something that actually works.

I am an analytical engineer with experience in data modeling and analysis from huge datasets. Whether you are trying to model the data for your company or analyze existing data, I can help! - I'm experienced in analytics languages; SQL, R, Python, Excel, and SPSS, and data modeling software DBT. - I'll manage projects from end to end with minimum supervision but ensure efficient communication for viable output.

I am a Senior Data Engineering specialist with 9+ years of experience building data pipelines and analytic platforms that turn raw data into actionable insights. My work focuses on designing scalable ingestion, transformation, and storage solutions using technologies like Spark, Kafka, Airflow, and cloud data warehouses (Snowflake, Redshift, BigQuery). I’ve streamlined ETL processes to handle terabytes of data daily, ensuring high throughput, data integrity, and cost-efficiency. Clients benefit from timely, accurate data that powers real-time dashboards, machine learning workflows, and mission-critical reporting. I am AWS Cloud expert with DevOps specialties with me, worked on Data oriented projects and managed CI/CD pipelines, data pipelines and cloud infrastructure in IaC (Terraform/Cloudformation) for the same project. Skills: • Data Ingestion & Streaming: Kafka, AWS Kinesis, Google Pub/Sub, RabbitMQ • Big Data Processing: Apache Spark, Hadoop (HDFS, Hive, MapReduce), Databricks • ETL/ELT & Workflow Orchestration: Apache Airflow, AWS Glue, dbt, Talend • Databases & Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse • Programming & Scripting: Python (PySpark, Pandas), SQL, Scala, Bash • Cloud Services: AWS (EMR, S3, Athena), GCP (Dataflow, BigQuery), Azure (Data Factory) • NoSQL & Storage: DynamoDB, MongoDB, Cassandra, HBase • Data Modeling & Schema Design: Star/Snowflake schemas, partitioning, indexing •BI/Visualization: Tableau, Power BI, Looker, QuickSight • Data Governance & Quality: Great Expectations, Deequ, data lineage, metadata management • Performance Optimization: Query tuning, Spark job optimization, partition pruning

With 6+ years of experience as a Data Engineer & AI Specialist, I design ETL/ELT pipelines, AI-driven analytics, and scalable cloud solutions that transform raw data into intelligence. I work across AWS, GCP, Azure, and Snowflake to deliver data engineering, AI automation, and real-time analytics for industries like fintech, real estate, and SaaS. From AI-powered RAG pipelines to enterprise-scale data warehouses, I create solutions that are robust, cost-efficient, and production-ready. 🧠 Generative AI & Machine Learning LLMs: OpenAI (GPT-4o), Gemini, Claude, LLaMA, Hugging Face, LangChain, LlamaIndex RAG Pipelines & Vector Databases: Pinecone, FAISS, Weaviate AI Tools: Prompt Engineering, Fine-Tuning, Model Deployment, MLflow, TensorFlow, PyTorch NLP & Forecasting: Topic modeling, Churn prediction, Real-time analytics ⚙️ Data Engineering & Pipelines Orchestration & ELT: Airflow, DBT, Dagster, Prefect, Fivetran, Airbyte, Meltano, dlt ETL / Data Pipelines: Python, SQL, Spark, Dask, Pandas, NumPy Data Warehousing: Snowflake, BigQuery, Redshift, Databricks, Delta Lake, DuckDB APIs & Automation: FastAPI, Flask, REST APIs, Web Scraping, API Integrations Scraping & Data Extraction: Scrapy, Selenium, Playwright, BeautifulSoup, Cloudflare Bypass, Proxy Rotation 📊 Data Visualization & Analytics Tableau, Looker, Power BI, Google Data Studio, QuickSight, Plotly, Dash, Seaborn, Matplotlib Real-time dashboards & business intelligence for decision-making ☁️ Cloud & DevOps AWS: Lambda, Glue, Athena, S3, Redshift GCP: BigQuery, Dataflow, Cloud Run, Vertex AI Azure: Data Factory, AI Services, Synapse Docker, CI/CD, Serverless, Cloud-native AI 🛠 Workflow Automation n8n, Make (Integromat), Zapier, Airtable, No-Code Data Engineering 🎯 Keywords (for Upwork SEO) Python, SQL, Python, Apache Spark, PySpark, Snowflake, Spark, BigQuery, Redshift, Databricks, Databricks Platform, Spark, ETL, ELT, DBT, Airflow, Prefect, Dagster, Fivetran, Airbyte, Meltano, MLflow, Hugging Face, TensorFlow, PyTorch, LLM, RAG, LangChain, Vector Databases, Pinecone, Weaviate, FAISS, NLP, Forecasting, Scrapy, Selenium, BeautifulSoup, Playwright, API Development, Web Scraping, Data Warehousing, Data Engineering, Automation, n8n, Make, No-Code Pipelines, Cloud Data Engineering, Database, API Integration, Data Analysis, Data Science, Database Architecture, AI Agent Development, AI App Development 🔖 Hashtags #DataEngineering #ETL #ELT #AIEngineering #LLM #GenerativeAI #Snowflake #BigQuery #Databricks #ApacheAirflow #DBT #RAG #LangChain #VectorDB #PythonDeveloper #APIAutomation #WorkflowAutomation #n8n #Make #NoCodeDataEngineering #MachineLearning #CloudData #Database #APIIntegration #DataAnalysis, #DataScience #ApacheSpark #Spark #AIDataEngineering #WorkflowAutomation #Snowflake #BigQuery #ApacheAirflow #PythonDeveloper #NoCodeDataEngineering #n8n #Make #dbt #PySp #DatabaseArchitecture #DatabricksPlatform #AIAgentDevelopment #AIAppDevelopment

# Scott | Data Engineer & Data Scientist Data Engineer specializing in Amazon Redshift, ETL pipelines, and scalable analytics workflows. I help businesses transform raw data into clean, reliable, analytics-ready datasets using Python, SQL, dbt, Airflow, and AWS. My focus is building production-grade pipelines that are fast, maintainable, and designed for long-term scale. Core expertise: • ETL/ELT pipeline development • Amazon Redshift warehouse design and optimization • dbt data modeling • Airflow workflow orchestration • AWS-based data architecture • BI-ready and ML-ready dataset preparation Tech stack: Python, SQL, dbt, Apache Airflow, Amazon Redshift, AWS Lambda, S3, Athena, BigQuery, Snowflake, PostgreSQL, MLflow, Power BI, Looker If you need a clean, scalable, and reliable data workflow, I can help.

Hi there — I’m Mohamed Elmougith, a Senior Data Management & BI Consultant with over a decade of experience helping organizations turn complex, scattered data into reliable, decision-ready insights. I specialize in Data Governance, Engineering, and Reporting, combining business understanding with technical execution across the full data lifecycle — from architecture and modeling to visualization and governance. 🔹 What I Do Best 🔵Design and build robust data architectures — Data Lakes, Warehouses, and Marts using Python, SQLModel, PostgreSQL, and SSIS / ADF. 🔵Develop ETL/ELT pipelines for ERP ecosystems such as SAP S/4HANA, Oracle EBS, and Maximo. 🔵Deliver insightful Power BI dashboards and performance-optimized DAX models for executive reporting. 🔵Implement data governance frameworks — policies, data quality monitoring, lineage tracking, and stewardship workflows using tools like OpenMetadata and custom Python automations. 🔵Advise leadership teams on Data Strategy & Operating Models, aligning technology with business objectives. 🔹 Beyond Consulting I’m also a Tutor-Reviewer at TripleTen, mentoring professionals in BI, analytics, and data architecture. 🔹 My Approach I work as a partner, not a vendor — helping clients design solutions that are maintainable, well-governed, and built for the long term. My goal is to make your data environment simpler, smarter, and more transparent. If you’re looking for a consultant who can bridge business strategy, data governance, and engineering execution, let’s connect.