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 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.

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

Professional Summary Data Engineer with 1+ year of experience building ELT/ETL pipelines, cloud data warehouses, and KPI dashboards using Python, SQL, dbt, BigQuery, and AWS. Proven ability to automate data ingestion, transform large datasets, and enable data-driven decision-making.

Stop struggling with messy, siloed data. Let's build your reliable Single Source of Truth. As an Analytics Engineer specialized in Snowflake + dbt, I design and implement end-to-end modern data solutions that turn raw data into actionable business insights. My process is simple and effective: 1. Assess your current data challenges and design the right architecture 2. Build automated, scalable pipelines using Airflow, dbt & Snowflake 3. Deliver interactive Power BI dashboards with advanced DAX for clear decision-making I help businesses achieve: • 60% faster reporting cycles • Up to $290K monthly revenue recovery • $247K/year potential savings in supply chain • 95%+ data accuracy with automated testing Ready to optimize your data strategy? Let's jump on a quick 15-minute call to explore how we can transform your data into a real competitive advantage. I'm available now — click "Invite to Job" or send me a message.

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’m a CPA-credentialed Data Engineer and Data Scientist with 10+ years’ experience designing and scaling end-to-end data platforms, AI/ML workflows, and Power BI solutions for Fortune 100 and growing SMBs. I bridge deep technical expertise (Python, PySpark, SQL, Azure Data Factory, Microsoft Fabric, dbt) with a finance background to deliver reliable ETL pipelines, optimized data warehouses, predictive models, and interactive dashboards that drive strategic decision-making. Core Expertise Data Science & Machine Learning: Feature engineering, model training (classification, regression, survival analysis), deployed ML pipelines, probability calibration, threshold optimization, drift monitoring, SHAP explainability Data Engineering & ETL: Python/PySpark, SSIS, ADF, incremental loads, CDC, schema drift handling Cloud Data Platforms: Microsoft Fabric, Synapse Analytics, Azure SQL, AWS Redshift, S3 Database Design: Star/snowflake schemas, partitioning, indexing, performance tuning BI & Reporting: Power BI modeling (DAX, composite models, RLS), incremental refresh, paginated reports Automation & Integration: Power Automate, Power Apps, REST/API workflows Finance & FP&A: Financial data modeling, forecasting, reconciliation, audit trails Highlights Architected a Fabric Lakehouse and Spark pipelines to consolidate numerous financial sources accelerating month-end close by 40% Developed end-to-end ML pipelines for client reactivation and churn prediction models, including automated retraining and performance dashboards using SHAP explainability Led Big 4 FP&A platform redesigns, embedding governance, predictive analytics, and self-service BI across global teams Delivered turnkey BI and data engineering solutions for healthcare, retail, and professional services, including integrating clinical data for AI-driven insights Let’s connect to discuss how I can streamline your data architecture, implement AI/ML solutions, and empower your team with insights that scale.

20x faster data ingestion across 500+ MLS sources, that's what the last real estate platform I built for 𝐘𝐥𝐨𝐩𝐨 runs on today. I build and migrate enterprise data platforms that turn fragmented sources into one warehouse your team actually trusts: clean data, working automation, and AI applications they use every day without second-guessing the numbers. A decade doing this across 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 (𝐘𝐥𝐨𝐩𝐨), 𝐓𝐞𝐥𝐞𝐜𝐨𝐦 (𝐎𝐨𝐫𝐞𝐝𝐨𝐨 𝐐𝐚𝐭𝐚𝐫), 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 (𝐒𝐢𝐦𝐩𝐥𝐞𝐝𝐂𝐚𝐫𝐝), 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 (𝐌𝐞𝐝𝐂𝐡𝐚𝐫𝐭), and 𝐑𝐞𝐭𝐚𝐢𝐥 (𝐌𝐢𝐥𝐥𝐢𝐨𝐧 𝐃𝐨𝐥𝐥𝐚𝐫 𝐁𝐚𝐛𝐲), on 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬, 𝐀𝐖𝐒, 𝐑𝐞𝐝𝐬𝐡𝐢𝐟𝐭, and modern AI infrastructure. Platforms that serve thousands of users a day. → 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 • 𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐚𝐭𝐚 𝐒𝐭𝐚𝐜𝐤 Snowflake + Databricks + dbt + Airflow + Fivetran + AWS Glue for scalable, testable, version-controlled ELT pipelines. • 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Teradata, Oracle, SQL Server, Pentaho, Informatica → Snowflake, Redshift, Databricks, BigQuery. • 𝐄𝐓𝐋 / 𝐄𝐋𝐓 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 AWS Glue, Airflow, Informatica, Talend, Pentaho, Azure Data Factory, SSIS, Spark, PySpark. • 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 & 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞𝐬 Snowflake, Databricks, Redshift, BigQuery, Delta Lake, Unity Catalog, Dimensional Modeling. • 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Predictive Analytics, Forecasting, Classification, Recommendation Systems, MLOps, MLflow, SageMaker, TensorFlow, PyTorch, Scikit-Learn. • 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP, AI Agents, Autonomous Workflows, Multi-Agent Systems. • 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Vector Databases, Pinecone, Weaviate, Qdrant, ChromaDB, Supabase Vector, Enterprise Knowledge Bases, Semantic Search. • 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Vapi, Retell AI, ElevenLabs, Twilio, Voice Agents, AI Call Centers, Lead Qualification Systems. • 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 n8n, Make, Zapier, HubSpot, Salesforce, GoHighLevel, CRM Automation, Workflow Automation. • 𝐁𝐈 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Power BI, Tableau, Sigma, Looker, Grafana, Executive Dashboards, Self-Service Analytics. • 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Great Expectations, dbt Tests, CI/CD, Data Validation Frameworks, Monitoring & Alerting. → 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Snowflake, Databricks, Redshift, BigQuery, Delta Lake, Unity Catalog 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: dbt, Airflow, AWS Glue, Informatica, Talend, Pentaho, Fivetran, Kafka, Spark, PySpark 𝐀𝐈 / 𝐋𝐋𝐌𝐬: OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier, HubSpot, Salesforce, GoHighLevel 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, Weaviate, Qdrant, ChromaDB, pgvector, Supabase Vector 𝐂𝐥𝐨𝐮𝐝: AWS, Azure, GCP, Docker, Kubernetes, Terraform 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, SQL, PySpark, JavaScript, TypeScript, Java, C# 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, DynamoDB → 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 • Reduced enterprise ETL runtimes from 6+ hours to under 45 minutes through cloud-native data architectures. • Built Snowflake + dbt + Airflow ecosystems integrating 120+ data sources powering executive dashboards and AI-driven decision systems. • Delivered real-time MLS ingestion platforms processing data from 500+ providers and supporting AI-powered marketing systems. • Built AI voice agents capable of automated lead qualification, appointment booking, and customer engagement. • Developed RAG systems that transformed thousands of documents into searchable enterprise knowledge platforms. • Implemented AI workflow automation that reduced manual operations by up to 80% across sales, support, and operations teams. → 𝐈’𝐦 𝐀 𝐒𝐭𝐫𝐨𝐧𝐠 𝐅𝐢𝐭 𝐈𝐟 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝 • Snowflake or Databricks implementation from scratch • Legacy ETL modernization and cloud migration • Data warehouse or lakehouse architecture • AI Agents and business process automation • RAG applications and enterprise knowledge systems • Voice AI solutions and conversational agents • n8n or Make workflow automation • Machine learning pipelines and MLOps • A senior data engineer or AI engineer to lead delivery and mentor internal teams 📩 Message me with a short description of your data stack, AI initiative, or business process challenge, and I'll provide a candid assessment of scope, architecture, timeline, and the best path forward.

Data Engineer with specialization in Data Warehouse and ETL. Over 20 years of hands-on experience designing cloud/on-premise DWH architectures, data models, and ETL/ELT pipelines — from greenfield builds to large-scale legacy migrations. If you need to build a BI/DWH/Database solution from scratch till production or need support in any part of the project - don't hesitate to contact me. What I bring to the table: -> Snowflake + DBT: Built event-driven data architecture at Fundbox ($5B+ fintech), supporting real-time credit decisions across loan origination, payment processing, and risk assessment. -> AWS Cloud: Led enterprise migration of 50TB+ databases to AWS for IBM Acoustic at ClearScale. Designed pipelines handling 2B+ daily records with 99.99% accuracy. -> Data Architecture: Star Schema, Data Vault, dimensional modeling — not just theory but production implementations across fintech, healthcare, pharma, telecom, and retail. -> AI-Augmented Development: Built MCP Server integrations connecting Redshift, MySQL, Git, and Jira with LLM-powered workflows. Created dashboards-as-code, using AI generation. Currently building DWH and BI solutions for a healthcare Florida local company, using AWS Redshift, QuickSight, and Python. Tech: Snowflake, DBT, AWS Redshift, Python, SQL, Terraform, Montecarlo, QuickSight, Tableau Modeling: Star Schema, Data Vault, Dimensional Modeling Legacy: Informatica, DataStage, Talend, Oracle, Netezza (for migration projects) Status: U.S. Permanent Resident. No sponsorship required. Open to: Senior Data Engineer, Data Engineer, Analytics Engineer roles — remote or Tampa FL, hybrid. I can help you in these areas - BI Solution Architecture Development, Data Warehouse project - Data Model Design (Logical, Physical, Star/Snowflake, Multidimensional, Data Vault) - Database design (Snowflake, Redshift, Oracle, MS SQL, Netezza, Vertica, PostgreSQL) - Data Management (Migration, Integration, Replication and any data processing) - ETL development (DBT, Talend, DataStage, IICS, PowerCenter, SSIS, Talend, ODI, AWS) - Data Quality and Data Cleansing - Create complex DB Server-side logic (Procedures/Functions, UDF/UDA) - Performance tuning (SQL queries, PL/SQL, T-SQL, NZSQL)

Are you looking for an AI Engineer who can actually build, not just consult? I design and deploy end-to-end AI solutions: Voice AI agents, LLM-powered chatbots, RAG pipelines, AI automation workflows, and Generative AI applications. With 15+ years of experience across FMCG, healthcare, and enterprise tech, I bridge the gap between cutting-edge AI and real business outcomes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 WHAT I BUILD — AI & VOICE AI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Voice AI Agents: inbound/outbound call bots using Vapi, Retell AI, and ElevenLabs for lead capture, appointment scheduling, and customer support automation ✅ AI Chatbots: custom LLM-powered bots (GPT-4, Claude, Gemini) with memory, context, and business logic ✅ RAG Systems: Retrieval-Augmented Generation pipelines using LangChain, LlamaIndex, and vector databases (Pinecone, Weaviate, ChromaDB) ✅ AI Automation: n8n, Make (Integromat), and Zapier workflows connecting AI to your CRM, ERP, and databases ✅ Agentic AI: multi-agent orchestration with LangGraph and AutoGen for complex task automation ✅ Prompt Engineering: structured system prompts, few-shot learning, and chain-of-thought frameworks ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 WHAT I BUILD: DATA & ANALYTICS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Business Intelligence: Power BI, Tableau dashboards with real-time data from multiple sources ✅ Data Engineering: data warehouses, ETL pipelines, data lakes on AWS, Azure, and GCP ✅ SQL & Python: advanced analytics, data modeling, and reporting automation ✅ CRM & ERP Integration: HubSpot, Salesforce, QuickBooks, SAP connected to your analytics stack ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏭 INDUSTRIES I KNOW DEEPLY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FMCG | Healthcare | SaaS | Manufacturing | Financial Services I don't just hand over code: I bring domain knowledge. I understand the metrics that matter in your industry and build solutions that actually get used. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 BACKGROUND ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ IIT Madras: Statistics (one of India's top technical institutions) ▸ B.Tech Computer Science: Kurukshetra University ▸ Former Data Analyst at Cisco Systems ▸ 100% Job Success Score on Upwork ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AI/LLM: OpenAI GPT-4o, Claude, Gemini, Llama, Mistral Voice AI: Vapi, Retell AI, ElevenLabs, Twilio Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS Automation: n8n, Make, Zapier Data: Power BI, Tableau, Python, SQL, dbt Cloud: AWS, Azure, GCP Databases: PostgreSQL, MySQL, MSSQL, BigQuery, Snowflake ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💬 HOW I WORK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ You bring the business problem. I handle everything from architecture to deployment. No jargon, no over-engineering, just solutions that work. → Clear communication and daily updates on active projects → Prototype-first approach so you see results fast → Full documentation and knowledge transfer on delivery Open to hourly engagements, fixed-price projects, and long-term retainers. Let's talk about what you're building.