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If your data pipelines are slow, breaking, or producing dashboards your team doesn’t trust — I fix that. Most data engineers can build a pipeline. Fewer make sure it is fast, reliable, well-modeled, and feeding dashboards your business can actually use for decisions. I’m a Microsoft Certified Fabric Data Engineer specializing in Microsoft Fabric, Azure data pipelines, Lakehouse/Warehouse architecture, Databricks, Snowflake, and Power BI semantic models. I help teams build the full data layer: from raw source systems and APIs, to clean Bronze/Silver/Gold pipelines, to properly modeled warehouses, to Power BI dashboards that perform at scale. Recent results: * Reduced a daily pipeline runtime from 8 hours to 30 minutes * Eliminated around 95% of manual data errors by automating third-party API integrations * Saved a data team 20+ hours per week through automated monitoring and reporting * Reduced manual data preparation time by 60% with end-to-end Azure pipelines * Built Power BI dashboards for retail, sales, and supply chain clients, with 5-star client feedback What I can help with: * Microsoft Fabric pipelines, Lakehouse, Warehouse, and medallion architecture * Azure Data Factory, Databricks, Azure SQL, and Data Lake pipelines * PySpark and Spark SQL for large-scale data processing * Power BI semantic models, DAX optimization, and executive dashboards * Data modeling, star schemas, fact/dimension design, and ERDs * SQL optimization, data quality checks, and pipeline monitoring * Snowflake and dbt for modern cloud warehouse solutions How I work: * Clear communication and regular project updates * Loom walkthroughs for architecture, logic, and deliverables * Clean, documented, production-ready code your team can maintain * Strong focus on reliability, data quality, and long-term maintainability * Available for async collaboration across US, UK, and EU time zones If you need reliable pipelines, clean data models, and dashboards your team can trust, send me a message.

🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 – 𝗔𝗺𝗼𝗻𝗴 𝘁𝗵𝗲 𝗧𝗼𝗽 𝟯% 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗲𝗿𝘁𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸. 🏆 Having successfully served 50+ clients on Upwork, I bring over 6 years of expertise in Data Analytics, Data Engineering & Web tracking. I build end-to-end data tracking & reporting pipelines for business of all sizes. What clients say about me: 📣 "𝙑𝙚𝙧𝙮 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚 𝙩𝙤 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙥𝙧𝙤𝙫𝙞𝙙𝙚𝙨 𝙜𝙧𝙚𝙖𝙩 𝙙𝙖𝙩𝙖 𝙖𝙣𝙙 𝙫𝙞𝙨𝙪𝙖𝙡𝙞𝙨𝙖𝙩𝙞𝙤𝙣 𝙖𝙙𝙫𝙞𝙘𝙚. 𝘼𝙡𝙨𝙤 𝙖𝙗𝙡𝙚 𝙩𝙤 𝙝𝙖𝙣𝙙𝙡𝙚 𝙖𝙙𝙫𝙖𝙣𝙘𝙚𝙙 𝘽𝙞𝙜𝙌𝙪𝙚𝙧𝙮 𝙖𝙣𝙙 𝙇𝙤𝙤𝙠𝙚𝙧 𝙎𝙩𝙪𝙙𝙞𝙤 𝙬𝙤𝙧𝙠. 𝙀𝙭𝙘𝙚𝙡𝙡𝙚𝙣𝙩 𝙘𝙤𝙣𝙩𝙧𝙖𝙘𝙩𝙤𝙧!" MY SKILLS SNAPSHOT: 📈 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 | Finding critical business insights & building KPIs from raw data stored in databases or spreadsheets. Also, building automated reporting dashboards using any available Business Intelligence tool in the market. 🌎 𝗪𝗲𝗯 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 | Setting up browser-side and server-side tracking to ensure have precise information on what actions users take on your website. 🛠️ 𝗘𝗧𝗟 𝘂𝘀𝗶𝗻𝗴 𝗔𝗣𝗜𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 | Expertise in building Python data pipelines to extract raw data from APIs of data sources like but not limited to Meta Ads, LinkedIn Ads, Google Ads, Bing Ads, Mailchimp, Shopify, Stripe, Google Analytics 4, Google Search Console, Klaviyo, ClickUp, Monday, etc. 📲 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 | Analysing mobile app user’s behaviour and developing key mobile app metrics like DAU, MAU, ARPU, day-wise retention, Ads and IAP analyses, Aha moment analysis, etc. 🤖 𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘂𝘀𝗶𝗻𝗴 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗢𝗽𝗲𝗻𝗔𝗜 | Building real-world business solutions using OpenAI and other large language models (LLMs). MY TECH EXPERTISE: • 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜 – Looker, Metabase, Zoho Analytics, Domo, Power BI, Tableau, Google Data Studio (formerly Looker Studio), Mode, Databox, Google Sheets, Excel, etc. • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 – SQL and Python. • 𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 – Google BigQuery, AWS Redshift, AWS RDS, Snowflake, MySQL, MS SQL, PostgreSQL, Azure SQL, etc. • 𝗘𝗧𝗟 𝗧𝗼𝗼𝗹𝘀 – APIs, dbt, Dataform, Fivetran, Supermetrics, PowerMyAnalytics, Saras Analytics, Zapier, etc. • 𝗪𝗲𝗯 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 – Google Tag Manager, Google Analytics 4, Mixpanel, etc. Feel free to drop a message if you need help with any of the services listed above and I'll be happy to collaborate! Looking forward to hear from you. Chitranshu Sharma

Experienced data analyst with 7+ years across fintech, BNPL, SaaS, and e-commerce. Power BI, Tableau, Metabase, and Looker Studio on top of clean SQL and dbt models in BigQuery. Engagements range from one week fixes to multi-quarter analytics builds. 📊 What I deliver • Power BI: DAX measures, row-level security, Power Query data prep • Tableau: calculated fields, LOD expressions, visual storytelling • Metabase: internal self-serve, customer-embedded analytics, row-level sandboxing • Looker Studio: GA4, Google Ads, Search Console, Sheets, Meta Ads blended into one report • Data layer underneath: SQL and dbt models on BigQuery, Snowflake, or Postgres • Internal LLM agents: warehouse questions in plain English from Slack or Teams, with SQL safety filters • Ongoing work: data model reviews, dashboard performance tuning, KPI definitions, dbt project audits, BI migrations 🏢 Industries Fintech (BNPL specifically), SaaS, e-commerce, and operational analytics. The fintech background means I am comfortable with reconciliation, audit trails, and the difference between accounting and product metrics, the parts most analysts gloss over. 🛠 Stack Power BI, Tableau, Metabase, Looker Studio, SQL, dbt, BigQuery, Snowflake, Postgres, MySQL, Python (pandas, NumPy), Google Analytics 4, Google Tag Manager, Google Sheets, Excel. ✅ How I work 1. Free 30 minute call to map the decisions your dashboard needs to support. 2. Fixed-scope first project sized to your timeline. Early working version so you can course-correct. 3. Optional retainer for new metrics, model updates, performance tuning, or AI features on the same warehouse.

4+ years building BI end-to-end Infrastructure. I sit with the ambiguity, ask what your team hasn't, and translate fuzzy business goals into a clear data model and KPI framework that holds up under scrutiny. 🧠 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 🔹 Ambiguity → Clarity: I define the right questions and metrics before building anything, so you measure what matters, not what's easy. 🔹 Semantic & Data Modeling: Star schemas, slowly-changing dimensions, reconciled grain, single source of truth 🔹 Scalable Architecture: Pipelines and models designed for "Day 2", maintainable, cost-aware, documented, built to grow instead of breaking at scale. 🔹 Context Integration: I unify Stripe, Shopify, Zoho, GA4, Ads platforms, etc. and CRMs into one coherent ecosystem that mirrors how your business actually operates. 🔹 Narrative & Decision Design: Every visual answers a business question and points to an action, analysis a CEO can act on in seconds. ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Apache Superset, Domo, Databox 🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel 🔹 Warehousing: BigQuery, Cloud SQL, Snowflake, SQL Server, MySQL, Firebase 🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Windsor AI, Coupler IO, Supermetrics 🔹 Sources: Stripe, Shopify, Zoho CRM, GA4, Google/Meta/TikTok Ads, Search Console, etc. 🔹 AI layer (the plus): OpenAI & Claude APIs, Claude Code, Codex, conversational analytics, anomaly detection, predictive models, and agent workflows for automated briefings & alerts 🚀 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 🔹 Business-first, not tool-first: I start with your objectives and constraints, not your dataset. 🔹 End-to-end ownership: From auditing sources and defining KPIs to modeling, building, and publishing, I run the full lifecycle. 🔹 Transparency: You own your data and infrastructure. I document every step, so nothing is a black box. 🔹 AI as leverage, not a gimmick: I automate the repetitive parts so the strategic parts get more of my attention. ⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗮𝘆 🔹 Reliable communication and clear expectations , no micromanagement needed. 🔹 Insights in plain language, for technical and non-technical stakeholders alike. 🔹 Proactive: I diagnose and recommend, not just deliver charts. 🔹 Consistent delivery, on time, with care. 💡 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 If your business generates data but not clarity, let's fix that. I'll design the model, architecture, and dissemination layer that turn your numbers into a durable competitive advantage, clear, scalable, and genuinely yours.

Over the past 7+ years, I've partnered with ecommerce brands and marketing teams to solve complex data challenges: whether that's building reliable pipelines, cleaning up messy datasets, or creating dashboards that actually get used. ⭐⭐⭐⭐⭐ These are some project types that I usually worked on: - Data Cleaning and Preparation - Data Analysis and Exploration - A/B Testing/Experiment - Statistical Analysis - Creating Data Visualizations - Creating Dashboards/Reports - Data Ingestion - Data Modelling/Transformation - Data Pipeline/ETL/ELT - Data Infrastructure - Machine Learning, etc. ⭐⭐⭐⭐⭐ Experienced in lots tools and technologies, such as: - Orchestration tools such as Airflow, Dasgter - Data ingestion in Airbyte, Dlthub, Dataflow, Pub-Sub, Kafka - Data Warehousing BigQuery, Snowflake - Data Transformation in DBT or Dataform - Data Visualization in Metabase, Looker Studio, Superset, or Tableau - Deep Analytics using languages like SQL, Python, or R - Also Git & Bash Skills - Ads platforms like Facebook/Meta ads, Google ads - Experience with GTM, Meta Pixel, and Google Tags - Ecommerce tools like shopify, klaviyo, customer io and recharge If you have a challenge, feel free to reach out to me.

I build the data infrastructure behind confident business decisions. Clean pipelines, structured warehouses, automated workflows, and dashboards that actually mean something. I am a Data Engineer and BI Developer specializing in end-to-end data solutions across the Microsoft ecosystem. I design and deliver scalable data pipelines, cloud-based warehouses, and analytics-ready environments using Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, SSIS, Python, and SQL, paired with executive-grade Power BI dashboards that turn raw data into real business visibility. My work sits at the intersection of data engineering and business intelligence. I don't just move data. I architect structured, maintainable environments that organizations can own, scale, and trust for long-term decision-making. What I Deliver - End-to-end data pipeline design and implementation using Azure Data Factory, Microsoft Fabric, and Databricks - Data warehouse architecture with clean, well-modeled schemas (star schema, dimensional modeling) built for performance and clarity - ETL/ELT development and automation including ingestion, transformation, scheduling, monitoring, and error handling across multiple source systems - Integration of diverse data sources including CRMs, ERPs, accounting platforms (QuickBooks, Xero), ecommerce systems (Shopify, Amazon), marketing APIs, CSV/Excel files, and cloud databases - Microsoft Fabric implementation including lakehouses, warehouses, pipelines, and paginated reports within the Fabric ecosystem - SQL development, query optimization, and stored procedure design for high-performance reporting - Python scripting for data automation, transformation, and API-based data extraction SSIS package development and maintenance for legacy and hybrid environments - Interactive Power BI dashboards and reports including KPI tracking, contribution margin analysis, profitability reporting, inventory analytics, and operational visibility - Documentation, SOPs, and structured handover materials so internal teams can confidently maintain and extend solutions independently Tools & Technologies - Microsoft Fabric - Azure Data Factory - Azure Synapse Analytics - Azure Data Lake Storage - Databricks - Python - SQL Server & SQL - SSIS - Power BI (Desktop, Service, Embedded, Paginated Reports) - Power Query & DAX - Microsoft Excel How I Work - Full ownership of delivery, from understanding your data landscape through to pipeline implementation, dashboard development, documentation, and team training - Focus on building solutions that are simple, well-structured, and designed for in-house sustainability, not black boxes that create dependency - Whether you need a greenfield data platform, an existing infrastructure restructured, or a reliable reporting layer connected to your operational systems, I bring the engineering discipline and BI expertise to deliver it cleanly and on time If you need a data engineer who can own the full journey from raw data to reliable reporting, let's connect. I'd love to understand your data challenges and build something that actually works.