I am a Snowflake Certified Data Engineer with 7+ years of experience in ETL, BI, and DWH. Currently working as Lead on multiple projects. Having excellent analytical & design skills, a focused approach, a professional attitude to work, and working at the Pacific Standard Time will make me the perfect candidate that you are looking for! PROFILE:- • Proficient in building data pipelines with Python, Snowflake, and Airflow • Hand-on experience on DBT, Pentaho Data Integration, IBM Data Stage, Informatica • Exposure to large data volumes in major database systems like Postgres, Redshift • Deep knowledge of SQL, and Reporting experience in Tableau, Sigma Computing, Power BI • Experience in DWH with substantial knowledge of Finance, Home Services, and Retail domains • Experience in working in Agile Environments like JIRA, Trello • Working knowledge of complete Data warehouse development life cycle SKILL SUMMARY:- Databases • Snowflake - Snowflake Essentials Certified • SnowPro Core • Native Apps • Streamlit • PostgreSQL :- 9.3, 9.5 • Oracle • Vertica • Amazon Redshift • Microsoft SQL Server • MySQL Data Integration Tools & Technologies • DBT • Python :- 2.7, 3.6, 3.8 • FiveTran • Upsolver • Pentaho Data Integration :- 5.0, 5.1, 5.2, 6.0, 6.1, 7.1 • IBM Data Stage • Precog BI/Reporting • Sigma • Tableau • IBM Cognos • Looker • Pentaho Reports Looking forward to working with you!

I help small and mid-sized businesses turn messy, disconnected data into clear, actionable insights. Whether your data lives in spreadsheets, CRMs, or multiple operational systems, I design and build analytics solutions that let you make faster, smarter decisions — without the need to hire a full-time data team. What I do: -Build dashboards and reports in Power BI that your team will actually use. -Design analytical data models with dbt to ensure consistency and scalability. -Set up reporting pipelines and data warehouses for clean, reliable data. -Perform data analysis, including KPI tracking, exploratory analysis, and regression modeling to support business decisions. -Lead end-to-end analytics projects, overseeing planning, quality, and documentation. Why work with me: Hands-on experience across multiple business areas: HR, sales, operations, marketing, and customer service. Proven track record with both in-house and consulting roles: Inter Miami CF, Safe Credit Solutions, and now Prisma Data Works & Analytics. Practical, cost-effective solutions — no overengineering, no buzzwords. Clear communication and a focus on helping your team actually use the insights we deliver. Technical stack & tools: Power BI | SQL | dbt | Airflow | Excel | Data Warehouses | ETL pipelines Experience highlights: -Led the data migration and CRM transition to Salesforce at Safe Credit Solutions, ensuring reporting continuity. -Built dashboards consolidating multiple data sources and performed operational analysis at Inter Miami CF. -Founded Prisma Data Works & Analytics, leading a small, skilled team to deliver end-to-end analytics solutions for small and mid-sized businesses. If you’re spending hours reconciling spreadsheets, struggling to trust your numbers, or need clearer visibility into your business, I can help you build systems and dashboards that save time, reduce errors, and give you confidence in your decisions. Let’s talk about how we can make your data work for you.

I build the data layer that makes AI analytics actually trustworthy — dbt models, a governed semantic layer, and Claude agents that answer business questions with numbers your team can defend in a meeting. Most "AI on your data" projects fail the same way: an LLM points at raw tables, invents joins, and returns a number nobody can reproduce. I fix that from the foundation up. What I do • Warehouse & modeling — Medallion architecture on Databricks or Redshift, dbt models with dim_/fact_/mart_ conventions, CI linting, and tests that fail loudly before stakeholders see bad data. • Semantic layer — Cube.js metric definitions so "revenue" means one thing across BI, spreadsheets, and AI agents. • AI analytics agents — Claude-powered agents wired to the semantic layer via MCP, with eval suites measuring answer accuracy instead of vibes. • Ingestion & orchestration — CDC with Debezium, AWS Glue, Step Functions, Airflow, Apache Iceberg incremental loads, API connectors (Klaviyo, payments, marketing platforms). Recent work • Currently the analytics/context engineering lead for a US multi-state retail operator: built the dbt foundation and CI standards from scratch, run the marketing and payments pipelines, and shipped a self-serve analytics agent to retail managers with 85%+ eval accuracy targets and 99% pipeline uptime. • Built production payments analytics for an Australian fintech — real-time payment CDC into Redshift via Debezium and Glue, dbt marts serving compliance and finance, plus an AML transaction-monitoring job on Step Functions. • Diagnosed and fixed a 30-minute query on a 50M+ row table, down to under 2 minutes, by eliminating non-sargable filters. Stack: dbt · Databricks · Snowflake · Redshift · AWS (Glue, S3, Step Functions, Lambda) · Airflow · Cube.js · Debezium/CDC · Apache Iceberg · Python · advanced SQL · Claude API & MCP Background: 4 years in fintech, payments, and crypto data — domains where a wrong number is a compliance problem, not a rounding error. Databricks Certified Data Engineer Associate. Finance degree from Foreign Trade University, so I can talk to your CFO as well as your engineers. I work US-overlapping hours and communicate in writing — daily updates, no silence. If you have a warehouse that's become a mess, or an "AI on our data" initiative that keeps producing numbers nobody trusts, send me the messy details and I'll tell you honestly whether I'm the right fit.

Power BI Developer | Data Analyst | Business Intelligence Expert | Executive Dashboards I help businesses turn messy, complex data into clear, executive-ready dashboards that drive faster and smarter decisions. I am a Microsoft PL-300 Certified Power BI Developer with 4+ years of experience delivering Business Intelligence and Data Analytics solutions for clients across the USA, Europe, and MENA regions. My focus is simple: Build dashboards leaders actually use, not pretty charts that sit unused. What I Specialise In: Power BI Dashboard Development Business Intelligence & Data Analytics Executive & KPI Dashboards Data Modeling, DAX & Power Query ETL, Data Cleaning & Transformation Performance Optimization & Report Speed Automated Reporting & Scheduled Refresh Excel to Power BI Migration Cloud BI Solutions I’ve worked across industries including E-commerce, Finance, Healthcare, CRM, Travel, and Retail, helping teams replace manual reporting with automated, scalable analytics. Tools & Technologies: Microsoft Power BI AWS QuickSight Tableau Looker Studio SQL (PostgreSQL, relational databases) Python Power Query & Data Modeling Microsoft Excel Power Automate Azure Data Services Google BigQuery What You Get When You Work With Me: Executive-ready dashboards built for real business decisions Clean, fast, and scalable data models Clear KPIs and insights, not confusing visuals Automated reporting that saves hours every week Reliable communication and on-time delivery If your current reports are slow, confusing, or not trusted by stakeholders, I can fix that. 📩 Message me to discuss your Power BI or Data Analytics project. Best regards, Ammar Ullah Khan

I help businesses transform raw, unstructured data into reliable, actionable insights by building scalable, automated, and optimized data solutions. With expertise in Python, SQL, and ETL workflows, I specialize in: ETL/ELT Pipeline Development – Designing and optimizing efficient pipelines using tools such as Airflow, AWS Glue, and Spark. Data Analysis & Reporting – Delivering clean, structured datasets ready for BI dashboards like Power BI or Tableau. Database Management – Writing complex SQL queries, improving performance, and handling large-scale datasets. Data Cleaning & Transformation – Removing duplicates, resolving inconsistencies, and ensuring high-quality datasets. Cloud Data Engineering – Developing modern data solutions on AWS, GCP, or Azure. Why work with me: Strong problem-solving approach focused on accuracy, efficiency, and scalability. Proven experience adapting data workflows across multiple industries. Commitment to delivering results that save time, reduce costs, and support better decision-making. Whether you need a one-time data cleaning task, a complete end-to-end ETL pipeline, or ongoing data engineering support, I can help streamline your data workflows and unlock valuable insights. Let’s connect to discuss how I can contribute to your project.

3x Certified aws and certified databricks developer having more than 5 years in Data Analytics domain having wide variety of expertise in multi sub domain of data engineering projects including ETL/ELT data pipelines, data warehousing, delta lakes and event driven architectures. I have expertise and experience in trending technologies such as: • Python • SQL • Spark • Airflow • DBT • Snowflake • AWS s3 • AWS Lambda • AWS Athena • AWS Glue • AWS EMR • Azure Synapse Analytics • Azure Data factory • Azure Databricks • GCP Biqquery • GCP Cloud Storage • GCP Dataproc • GCP Pub/sub

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing

With over 8 years’ experience delivering business intelligence and analytics solutions, I help organisations turn complex, fragmented data into clear, trusted insight that drives better decisions, operational efficiency, and strategic focus. My work centres on creating a single, reliable view of performance by shaping data into consistent, analytics-ready datasets and translating them into intuitive executive dashboards. I do the T in ELT. This enables leaders to monitor outcomes, spot risks early, and take action with confidence, rather than relying on manual reports or conflicting numbers. I am recognised for bridging the gap between data and decision-making, working closely with stakeholders to ensure insights answer real business questions and support measurable outcomes. Across engagements, my work has improved data visibility and strengthened confidence in reporting. #Dimensional modelling, # Semantic Modelling,#Databricks,#Data Models,#Azure Data Studio, #SSMS Views, #Stored Procedures, #CTE's,#Views, #SSAS, #SSRS, #Power Pivot, #Power Query, #DAX, Mashup, #Azure DevOps for version control (Git)

Hey there! 👋 I'm a Data Engineer with about 6 years of hands-on experience. I specialize in Python, building scalable ETL pipelines using big data tools and efficiently process data that scales quick . Familiar with different types of RDBMS, Warehouses, Lakes and Lake houses architectures. Besides dealing with the technical stacks I have also been heavily involved in analytical engineering on how to best automate the generation of KPIs with smooth workflows I have worked in different domains such as Banking, Marketing , Telecom and Ad-Tech as either being employed or freelancing. I've also worked with LLMs (including RAG pipelines), and have the experience developing Machine Learning models. I have the desire for turning raw data into real, actionable insights ! Here's a snapshot of what I bring to the table: ✅ Languages: Python, SQL, Java, SSJS ✅ AWS Cloud: S3, AWS EMR, EC2, Lambda ✅ Data Warehouse & Lakehouse Architectures: Oracle, Snowflake, Iceberg ✅ Databases: PostgreSQL, Microsoft SQL Server, Oracle, Apache Hive, HBase ✅ Data Processing: Real-Time & Batch ✅ Big Data & ETL Stacks: Apache Airflow, Apache Kafka, Spark (Scala/Python), dbt, Apache NiFi, SSIS ✅ Containers: Docker, Kubernetes ✅ CRM Tools: Salesforce Marketing Cloud ✅ Machine Learning Algorithms: Logistic Regression, Classification, Computer Vision, NLP, Time Series Forecasting, Hyperparameter Tuning, Deep Learning ✅ ML Frameworks & Libraries: TensorFlow, Keras ✅ Tools: VS Code, GitHub, Jupyter Notebook

I'm a versatile freelance Data Engineer with a strong command of various tools and technologies. Proficient in PySpark, Python, Azure Data Factory, Google BigQuery, SQL, and more, I'm your go-to expert for designing and implementing efficient data solutions. With a focus on optimizing data processes, I bring a wealth of experience to help you derive valuable insights from your data. If you're in need of a skilled Data Engineer to tackle your data challenges, let's connect and discuss your project. Delivered $50K+ in data engineering solutions across 15 projects | Specializing in scalable ETL pipelines, real-time data processing, and cloud data architecture (Azure, GCP) | Built systems processing 10M+ records with 40% improved performance | Expert in PySpark, Python, BigQuery, and Azure Data Factory SQL Python API Integration Data Extraction Data Transformation Amazon EC2 Data Engineering Data Visualization PySpark Apache Spark AWS Glue Apache Airflow Data Warehousing & ETL Software Jupyter Notebook Amazon Web Services LLM Prompt Prompt Engineering Generative AI Model Tuning Generative AI Prompt Engineering