Experienced Analytics Consultant | Data Science | Business Intelligence | Growth Strategy With over 15 years in the analytics space, I have a passion for helping businesses harness the power of data to drive growth, optimize strategies, and improve products. Whether you're looking for insights from ad hoc analyses, evaluating A/B tests for product enhancements, or optimizing user acquisition data, I’m here to guide you through data-driven solutions. What I Offer: Expertise in data tracking plans and collaboration with engineers to implement them. Proficiency with all major BI tools such as Tableau, Looker, DOMO, Oracle, Adobe Site Catalyst, and Google Analytics. I can analyze data to help you better understand customer behavior, optimize product performance, or improve marketing outcomes. Web and Mobile App Analytics specialist, with over a decade of experience ensuring that platforms perform at their best through in-depth tracking and analysis. A proven ability to work cross-functionally, collaborating with teams across product, marketing, and operations to solve business problems using data. I’ve worked in e-commerce, peer-to-peer marketplaces, and fintech industries, so I understand diverse challenges. Programming fluency in Python, SQL, and R, enabling me to build robust data pipelines and analytics solutions. Recently, I've been expanding my skills with Django and React for personal projects. My Approach: Every project starts with a deep understanding of your goals. We’ll sit down to identify key objectives, separate facts from assumptions, and design the best approach to solve the problem—whether that means delivering fast insights or a more complete, long-term solution. Why Work With Me? In addition to solving your current challenges, I’m committed to helping you grow your capabilities. I’ve been a leader in analytics for most of my career, and I love teaching. I won’t just deliver a solution; I’ll ensure you’re equipped to maintain and expand on it in the future.

7+ years building production data pipelines and warehouses on GCP (BigQuery, Dataflow, Vertex AI), with deep Informatica/ETL and dbt experience. I now help teams get their data AI-ready clean, modeled pipelines that power reliable RAG and LLM applications. What I do for clients: • Design and build ETL/ELT pipelines (Informatica, Python, dbt, Airflow) into BigQuery/Snowflake • Migrate and modernize legacy warehouses without breaking reporting • Build retrieval pipelines for RAG — chunking, embeddings, vector stores, Vertex AI • Automate data ingestion from APIs, CRMs, and scraped sources I write clean, documented, maintainable systems and communicate clearly in plain English. I'm responsive, deadline-driven, and happy to start with a small paid test task so you can see the quality before committing. Recent work: [Enterprise Agentic Solution for analytics charts, Cloud Base ETL data integrations, and data pipelines to process 1GB data daily from 20 data sources]

Dedicated and accomplished Data Engineer with over 9+ years of hands-on experience in designing, implementing, and maintaining robust data infrastructure. Proficient in the end-to-end data lifecycle, from ETL processes to data modeling and optimization. Seeking a challenging career opportunity to leverage extensive expertise in data engineering, contribute to innovative projects, and drive organizational success. Eager to apply advanced skills in data architecture, cloud technologies, and data pipeline optimization to create efficient and scalable solutions. Committed to staying at the forefront of evolving technologies and fostering a collaborative environment for continuous improvement.

I am a highly motivated data engineer with more than 3 year of experience implementing and maintaining data pipelines, modelling, and warehousing. I am seeking an opportunity to utilize my technical skills and expertise in Python, PySpark, Pandas, AWS S3, AWS Redshift, Apache Airflow, DBT, SQL, and PostgreSQL to support data-driven decision-making and drive business growth. I aim to work in a dynamic and challenging environment where I can continuously learn and deliver my data engineering knowledge.

Looking for a seasoned operator to help your business solve its data problems? I can help! With 7+ years in the data world, I've worked with clients large and small across the full data stack. My services: * Data collection * Data warehousing * Data visualization

🌊 Are you drowning in manual data tasks, messy spreadsheets, or disconnected systems ? I am an Analytics Engineer and Data Analyst who goes beyond simple reporting. I build the RPA (Robotic Process Automation) systems and data pipelines that make your business scalable, reliable, and intelligent. While most analysts only visualize data, I specialize in the full data lifecycle : extracting it from complex sources (PDFs, APIs), automating the processing with RPA & Python, and transforming it into strategic insights using modern BI tools. My Core Services : ⚙️ Analytics Engineering & Data Pipelines - Transforming raw data into clean, structured models (SQL, dbt). - Connecting diverse data sources (Excel, SQL, APIs) to a central Data Warehouse (BigQuery/Snowflake). - Ensuring data quality and consistency for accurate reporting. 📊 Business Intelligence & Financial Modeling - Designing interactive Dashboards (Power BI, Tableau) for C-Level executives. - Financial modeling and forecasting for investment and strategy (Venture Capital experience). - Translating complex technical data into clear business recommendations. 🤖 RPA (Robotic Process Automation) & AI Integration - Workflow Automation : Designing bots to scrape web data, process invoices, or transfer data between legacy systems using Power Automate and Python. - Intelligent Document Processing: Leveraging AI to extract structured data from unstructured files (PDFs, scanned docs) automatically. 💡 Case Study : Built a custom RPA solution to extract data from industrial PDFs and automate reporting, saving significant manual hours. 💻 Tech Stack: - Automation & RPA: Power Automate, Python (Selenium, Pandas), API Integration. - Data Engineering: SQL (Advanced), dbt, Google BigQuery. - BI & Viz: Power BI (DAX), Tableau, Looker Studio, Excel (Advanced Modeling). 🚀 Ready to turn your data chaos into an automated asset? Click "Invite to Job" and let's discuss how we can streamline your operations.

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

🚀 Turning Data into Business Gold Hi, I’m Nelson — a Senior Principal Engineer with 24+ years in IT, specializing in data engineering, cloud architecture, and machine learning. I hold a master’s degree in Computer Science and an MBA, enabling me to bridge deep technical solutions with real business impact. I’m a Google Cloud Certified Professional Data Engineer and AWS Certified Solutions Architect – Professional, with hands-on experience across AWS, GCP, and OpenStack. I’ve led data and ML projects that power critical business decisions. 🔧 What I Do Best 🟨 Data Engineering • Build scalable ETL pipelines using SQL, dbt, Airflow • Work with Redshift, BigQuery, Snowflake, Databricks • Python, Pandas, Spark, Hadoop 🟨 Machine Learning • NLP, Sentiment Analysis, Classification Models 🟨 Cloud Specialist • Infrastructure on AWS, GCP, OpenShift, Ceph • DevOps, CI/CD, Linux, distributed storage systems 🏅 Certifications ✅ Google Cloud Professional Data Engineer ✅ AWS Solutions Architect – Professional ✅ Cloudera Certified Administrator for Apache Hadoop (CCAH) ✅ Red Hat Certified: OpenShift & OpenStack ✅ EMC Information Storage & Management 🧠 Skills Snapshot • Web & social media data analytics • Data modeling, warehousing, and ETL design • Hadoop, Spark, Kafka • Workflow orchestration with Airflow • Cloud-native architecture (AWS, GCP, Azure) • Relational & NoSQL DBs • Secure and compliant data design 📌 Services I Offer • Data pipeline development • End-to-end data architecture design • Cloud-based data solutions • Data warehouse implementation • Big data analytics and batch processing • Data quality and governance strategy 🌟 Highlight: Award-Winning Project 🏆 Best Big Data Paper Award – for using open datasets to predict market trends, recognized at Dell Technologies World. 💬 What Others Say “Nelson is very approachable and always willing to help. Whether it’s software development, big data analytics in the cloud, or ML projects—he delivers with expertise and curiosity.” “He gets things done. Whether it’s open-source tools or custom code on AWS, Nelson solves problems creatively and efficiently.” “Exceptional AWS skills, and incredibly patient. A true professional.” ✅ Why Work With Me I bring a strategic mindset to every project. You won’t just get code — you’ll get solutions that align with your business goals. I’m curious, detail-oriented, problem solver and relentless about delivering results. Let’s collaborate to unlock the full value of your data.

I help organizations transform raw data into reliable reporting, analytics, and decision-support systems. My background combines Data Engineering, Analytics Engineering, and Monitoring, Evaluation & Learning (MEL) analytics. I design end-to-end data workflows that collect, process, transform, and visualize data to support operational and strategic decision-making. I have experience building production-style data solutions including automated ETL/ELT pipelines, PostgreSQL data warehouses, workflow automation systems, KPI reporting frameworks, and Power BI dashboards. Technical Expertise • SQL (Advanced Queries, CTEs, Window Functions, Query Optimization) • PostgreSQL • Python (Pandas, NumPy) • Airflow • dbt • Docker • Power BI • Data Warehousing • ETL / ELT Pipelines • API Integrations • Workflow Automation (n8n) • KoboToolbox Data Systems Services I Provide ✓ Data Pipeline Development ✓ ETL / ELT Workflow Automation ✓ PostgreSQL Database Design ✓ SQL Development & Optimization ✓ Data Warehouse Design ✓ Power BI Dashboard Development ✓ Monitoring & Evaluation (MEL) Reporting Systems ✓ KoboToolbox Data Processing & Reporting ✓ Automated Data Collection & API Integration ✓ Business Intelligence Solutions Selected Project Experience • Food Security Intelligence Pipeline Designed and deployed an automated humanitarian intelligence platform that ingests KoboToolbox survey submissions, processes vulnerability indicators, stores structured data in PostgreSQL, and generates operational alerts and reporting outputs. • Youth Employment MEL Analytics System Built a monitoring and evaluation database system using PostgreSQL and SQL analytics to assess employment outcomes, measure program impact, compare treatment and control groups, and generate donor-reporting indicators. • Data Warehouse & Analytics Engineering Projects Developing modern ELT architectures using Airflow, dbt, Docker, PostgreSQL, and object storage to support scalable reporting and business intelligence workflows. I focus on building solutions that are accurate, maintainable, scalable, and aligned with real operational needs. Whether you need a reporting dashboard, automated data pipeline, SQL optimization, or a complete analytics platform, I can help transform your data into actionable insights.

🚀 Building Scalable Data Solutions to help businesses scale! Hello there! Thanks for stopping by. I'm a Cloud Data Engineer passionate about designing and implementing scalable, high-performance data solutions that empower businesses to make data-driven decisions. With experience across AWS, Azure, Microsoft Fabric, and Open-Source Data Tools, I specialize in data pipelines, ETL/ELT workflows, data warehousing, and analytics solutions. I’ve successfully delivered data management and analytics solutions across industries like Commerce, Manufacturing, and Logistics, helping teams unlock the full potential of their data. M Y S P E C I A L I T I E S 🌟 📊 Data Engineering & Warehousing (Redshift, Snowflake, Synapse, BigQuery) 🛠️ Data Pipelines & Orchestration (DBT, Airbyte, Dagster, Apache Airflow) ☁️ Cloud Data Solutions (AWS, Azure, Microsoft Fabric) 🚀 ETL/ELT & Automation (Spark, Python, SQL, Power Automate) 📈 Data Analytics & Visualization (Power BI, Looker Studio, Metabase) Why Work With Me? ✅ Scalable Data Infrastructure – I design optimized data lakes & warehouses to manage large-scale datasets efficiently. ✅ Automated ETL/ELT Workflows – I streamline data ingestion, transformation, and processing using modern data stack tools. ✅ Cloud-Optimized Solutions – I build cost-effective, high-performance data solutions on AWS & Azure to enhance decision-making. ✅ End-to-End Data Insights – From data modeling to dashboarding, I deliver actionable insights tailored to business needs. 💡 Let’s Transform Your Data into a Strategic Asset! 💌 Feel free to reach out—whether you need to optimize your data stack, build a scalable pipeline, or explore cloud migration strategies. Let’s talk about your data challenges! Best Regards, Sohaib Raza