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I am an experienced Data Analyst/Scientist with a demonstrated history of working in multiple domains. I am skilled in Python, Microsoft Power BI, SQL, Deep analytical skills, visualization,, Machine leaning and so on. My philosophy in life is that satisfaction does not merely come when needs are met. But rater, conditions are met beyond expectations. With that, my mission is to provide 110% effort to my works.

I build data pipelines and dashboards that help companies actually use their data. Over the past 5 years, I've helped 70+ clients — from early-stage startups to enterprise teams — set up analytics infrastructure, migrate to modern data stacks, and create dashboards their teams actually use daily. What I do best: BI & Dashboards — Looker, Looker Studio, Tableau, Power BI, Mode. I've built executive dashboards, marketing attribution reports, and customer analytics views for SaaS, e-commerce, and gaming companies. Data Pipelines & ETL — BigQuery, Snowflake, dbt, Airbyte, Fivetran. I design and build pipelines that are reliable, documented, and maintainable — not spaghetti SQL that breaks when you're on vacation. Analytics Engineering — GA4 setup, event tracking, data modeling, KPI frameworks. I help teams go from "we have data somewhere" to "we make decisions with data." Recent wins: Built a GA4 + Looker Studio analytics stack for a German startup (troubleshooting complex attribution issues) Developed dbt models powering customer dashboards in Amazon QuickSight Created AI chatbot POC processing analytical datasets — delivered in weeks, not months I'm responsive, I document my work, and I don't disappear mid-project. Let's talk about what you're trying to build.

Is your business bleeding time and money on manual data entry, broken pipelines, and blind decision-making? Your insights are only as good as your infrastructure. I architect automated data pipelines and predictive models that eliminate manual bottlenecks, giving you back your time and providing absolute clarity on your revenue. As a Top Rated Plus Data Automation Expert with nearly 3,000 hours of proven execution, I do not just pull data; I engineer systems that solve massive business problems. The Real-World ROI I Deliver: 1. Eliminated 6 Months of Manual Labor: Engineered and deployed a multi-API Python workflow handling 17 concurrent tasks, completely replacing an agonizing manual process with a zero-touch automation system. 2. Optimized Massive-Scale Data: Leveraged advanced SQL to clean, structure, and analyse enterprise datasets exceeding 20 million rows, reducing processing time by 15%. 3. Executive-Level clarity: Translated complex pipeline outputs into intuitive, SMART dashboards that allow stakeholders to make profitable decisions in seconds, not hours. Core Engineering Stack: a) Architecture: Google Cloud Platform (GCP), BigQuery, Docker, Cloud Run b) Automation & Scripting: Python, APIs, ETL Pipelines, n8n c) Intelligence: Advanced SQL, Machine Learning (TensorFlow), Predictive Analytics d) Visualization: Tableau, Looker I operate on absolute transparency, Smart communication, and relentless execution. If you want an order-taker, look elsewhere. If you are ready for a data partner who will take ownership of your bottlenecks and automate them out of existence, let's talk. ⚫⚪🟢

🥇 Top Rated Plus Data Architect & Engineer 🎯 Providing Decision Clarity via Automated Data Infrastructure Hi, I’m Farhan! Over the past three years, I’ve specialized in architecting data infrastructure and connected decision systems that give executives and business leaders a real-time, clear picture of their company’s performance, operations, and financials. During my tenure at Requin Analytics, I focused on engineering executive-level systems that integrated directly with company warehouses and cloud platforms—allowing leaders to track live logic through automated data pipelines. Having served global firms ZigTech Solutions, I’ve delivered results for founders and directors across E-commerce, SaaS, manufacturing, healthcare, logistics, and construction. As a Top Rated Plus Talent on Upwork, I focus on technical strategy for startups and growing enterprises, creating scalable architectures curated to match specific business growth goals and complex data requirements. 🥇 Here’s How I Can Help Your Business: 🎯 Decision Systems & Executive Intelligence • Executive & C-Suite Decision Systems • Automated Profit and Cash Flow Logic • Strategic KPI & Performance Architecture • E-commerce & Marketing Intelligence • Operational & Departmental Infrastructure • Custom-built systems based on your company’s unique requirements 🎯 Data Engineering & KPI Architecture • Automated data pipelines connected to cloud warehouses (BigQuery/Snowflake) • Centralized "Source of Truth" through dbt modeling and SQL optimization • Scalable KPI setups with accurate logic and high-speed performance • End-to-end data integration for better organizational visibility 🎯 Infrastructure Management & Strategy • Manage data roles, permissions, and security protocols • Optimize system performance and logic reliability 🛠 Tools I Work With Engineering: SQL, dbt, BigQuery, Snowflake, Power Query Intelligence: Power BI, Tableau Automation: Power Automate, Microsoft 365 Collaboration: ClickUp, SharePoint, Slack 🔍 How I Work 1️⃣ Discovery Call: I’ll discuss your business goals and the specific logic needed for your decision systems. 2️⃣ Architecture First: I’ll design the data flow and logic mapping before deployment, ensuring the system is built for scale. 3️⃣ Engineering & Collaboration: Frequent updates and feedback loops ensure the infrastructure matches your exact expectations. 4️⃣ Deliver Impact: The final systems are intuitive, automated, and built for executive-level clarity. Would love to schedule a short call to discuss how we can architect the data infrastructure that fits your business needs.

Passionate, and detail-oriented Analytics Engineer with a strong focus on bridging the gap between data engineering and business analytics to empower self-service analytics and drive informed decision-making. Committed to continuous improvement though experiences and always eager to take on new challenges that make a real impact. Self Initiated Projects ✅ Core Banking Data Mart Automation - dbt | Airflow | PostgreSQL 🔗 ▶ Designed and implemented an end-to-end ATM Withdrawal Transaction Data Mart using dbt (Bronze–Silver–Gold layers) on PostgreSQL, incorporating incremental models, data quality tests, and freshness checks. ▶ Orchestrated automated 10-minute incremental updates using Apache Airflow, enabling nearly real-time data availability for downstream analytics. ✅ Core Banking System – ATM Withdrawal Streaming Simulation - Databricks | PySpark | Delta Lake | Streaming ETL ▶Designed and implemented a core banking data model, including 6 reference tables, 5 entity tables, and a double-entry financial journal table to simulate ATM cash withdrawal operations. ▶Developed a high-volume synthetic data generator and real-time PySpark Structured Streaming pipeline in Databricks to simulate and transform 100,000+ double-entry ATM transactions per minute into a unified Silver-layer data mart using Delta Lake, stream-stream joins, watermarks, and broadcast joins. ✅Real-Time Change Data Capture (CDC) Pipeline with Kafka, Debezium, and ClickHouse ▶Built a real-time data pipeline by setting up Kafka with Confluent Control Center and developing a Python Faker script to generate and stream 10M synthetic financial records. ▶Simulated a production system by sinking data into PostgreSQL, then enabled CDC with Debezium, replicating changes in real time to a ClickHouse target database with a custom-designed schema. ✅ Data Transformation with DBT ▶Built staging schemas and incremental models with well-defined schema documentation to enable efficient, modular data transformation, and ensure maintainability. ▶Developed custom macros to standardize logic and reduce code duplication and snapshots to manage slow-changing dimensions ✅ Technical Expertise: ▶ Languages & Platforms: Python, SQL; Microsoft Azure, Visual Code Studio, Jupyter Notebook, DBreaver, Docker ▶ Databases and Tools: Oracle, Postgre SQL, MySQL, ClickHouse ▶ Big Data Technologies: Apache Kafka, Airbyte, PySpark, dbt, Apache Airflow, Databricks ▶ Data Visualization: Tableau, Power BI, Metabase, Superset ▶ Microsoft: Advance Excel ▶ Soft Skills: Stakeholder Management, Time Management, Work Prioritization, Leadership ✅ Areas of Expertise : ▶ Data Architecture & Pipeline Engineering Proficient in designing and implementing real-time data pipelines, including CDC- enabled architectures, with a strong focus on scalable ETL/ELT processes and robust data modeling within modern data warehouse frameworks such as Medallion Architecture ▶Advanced SQL & Data Transformation Complex transformation logic using SQL, dbt, and custom macros to standardize logic across models ▶ Dashboard & Report Automation Create interactive dashboards in Tableau, Metabase, and Power BI supporting business units from sales to operations. ▶ FinTech Transaction analysis Customer analysis - Customer Lifetime Management, Campaign Analysis, Customer Cohort Development, Churn & Retention Analysis ▶ Inventory & Supply Chain Analytics Demand planning, Replenishment Model, Out of Stock analysis & Lost Sales, Safety Stock, Inventory Aging, Turnover, Product segmentation Industries I have worked for: FMCG, E-Commerce, FinTech(Mobile Financial Service)

I find the revenue leaks, billing errors, and data quality issues hiding in your messy datasets — and I fix them. Most recently: I audited 25,956 EHR records for a healthcare client (Commure/Augmedix) and identified 282 missing encounters and 108 duplicate imports representing direct lost billing revenue. I traced each issue to its root cause — schema rejection and system sync failure — and delivered findings in a live Retool dashboard. What I work with: SQL (PostgreSQL, MySQL) — CTEs, window functions, subqueries, query optimization Python (Pandas, NumPy) — EDA, data cleaning, feature engineering, automation Power BI & Excel — executive dashboards, KPIs, Power Query pipelines Web Scraping (Playwright, BeautifulSoup4) — large-scale automated data extraction You get: clean data, documented logic, and insights you can act on — delivered on time. Let's talk.