Hire the Best TIBCO Spotfire Developers in Karachi, PK

Data Engineer specializing in building scalable data pipelines, ETL systems, and cloud-based data infrastructure. Core Skills ➜ Data Engineering → ETL / ELT, Data Pipelines, Data Modeling ➜ Cloud → AWS (S3, Lambda, Glue), GCP (BigQuery, Storage) ➜ Programming → Python, SQL, REST APIs ➜ Orchestration → Apache Airflow, Workflow Automation ➜ Data Collection → Web Scraping, API Integration ➜ Databases → PostgreSQL, MySQL, BigQuery What I Can Help With — Build end-to-end ETL pipelines using Python and SQL — Develop automated data extraction systems (APIs & web scraping) — Design scalable cloud data pipelines on AWS and GCP — Clean, transform, and structure large datasets for analytics — Optimize SQL queries and database performance — Automate data workflows and reporting systems Let’s Work Together Send me your requirements and I will: Analyze your data problem Suggest the best technical solution Provide timeline and cost estimate Confirm feasibility before starting

I help businesses automate intelligent workflows and modernize their data infrastructure from agentic AI pipelines to cloud-native data platforms that drive real decision-making. With 6+ years of hands-on experience, I specialize in Agentic AI Engineering, Data Vault 2.0 / Cloud Data Engineering, and end-to-end BI solutions. What I Deliver: - Agentic AI Pipelines: End-to-end automation workflows using n8n and Claude AI lead enrichment & scoring, AI content generation, multi-step decision agents with structured JSON outputs, error handling, and CRM integration (HubSpot, GoHighLevel). - AI Workflow Automation: Webhook-driven systems that connect APIs, LLMs, and business tools into autonomous pipelines replacing manual processes with intelligent, self-routing flows. - Data Vault 2.0 Architecture: Design and implementation on Snowflake using VaultSpeed ensuring historical tracking, auditability, and enterprise-grade scalability. - Data Warehouse Modernization: Migration from legacy systems (SAP, DB2, Mainframe) to cloud platforms like Snowflake, Redshift, and Azure Synapse using Talend, Informatica, and Azure Data Factory. - Scalable Data Pipelines: Batch and streaming ETL/ELT pipelines with Kafka, Spark, and Python, orchestrated via Apache Airflow. - Cloud Data Solutions: End-to-end deployments on AWS (Glue, Lambda, S3, Lake Formation) and Azure, with CI/CD via Docker and Azure DevOps. - Business Intelligence & Dashboards: Power BI and Tableau dashboards that translate complex data into KPIs, executive reports, and actionable insights. Tech Stack: n8n, Claude AI, OpenAI, LangChain | Data Vault 2.0, Kimball, Snowflake, Redshift, SQL Server, MongoDB | AWS, Azure | Talend, Informatica, Spark, Kafka, Airflow, Docker | Power BI, Tableau, Python, SQL Industries: Finance, Energy, SaaS Featured Work: 1. AI Lead Enrichment Pipeline — n8n workflow with parallel Clearbit + Apollo enrichment, Claude AI scoring (hot/warm/cold), HubSpot upsert, and Slack alerts. Zero manual steps. 2. AI Content Generation Pipeline — Google Sheets editorial calendar → Claude AI → WordPress draft with AIOSEO fields pre-filled. Saves 8+ hrs/week. 3. Data Vault 2.0 Implementation (Finance) — Customer tracking on Snowflake with Kafka streams, Talend ETL, and Power BI dashboards. 4. Data Platform Modernization (Energy Trading) — Cloud-native platform with AWS Glue, Redshift, Medallion Architecture, and performance dashboards. 5. Product Development (Astera DW Builder) — Metadata-driven ETL tool with automated Data Vault generation and built-in reporting templates. Let's connect and discuss how I can automate your workflows or modernize your data platform.

I’m a Cloud Data Engineer with 4+ years of hands-on experience designing, building, and scaling real-time and batch data pipelines across AWS, Snowflake, and modern data ecosystems. I specialize in creating high-performance, fault-tolerant systems that transform complex data into actionable insights — helping businesses make faster, smarter decisions. What I Do • End-to-End Data Engineering: Design and implement scalable ETL/ELT pipelines using AWS Glue, Lambda, S3, and Redshift, processing terabytes of data daily. • Stream Processing & Real-Time Analytics: Build low-latency architectures using Kafka, Spark, and Databricks, enabling real-time decision-making at scale. • Data Warehousing & Governance: Architect optimized warehouses on Snowflake and Microsoft SQL Server, ensuring performance, data quality, and governance. • Workflow Automation & Orchestration: Utilize Apache Airflow for pipeline orchestration, CI/CD automation, and data quality monitoring frameworks in Python and SQL. Technical Expertise • Programming: Python, SQL, FastAPI, Java, Node.js • Frameworks & Tools: Apache Spark, Kafka, Airflow, Databricks, Apache NiFi • Databases: Snowflake, PostgreSQL, Microsoft SQL Server, Firebase • Cloud Platforms: AWS (Glue, Redshift, Lambda, S3, RDS, SQS, SNS, Athena, Quicksight, DynamoDB), Microsoft Fabric • DevOps & CI/CD: Docker, GitHub Actions, Cloud-native deployments Key Achievements • Architected 10+ production ETL pipelines handling 3TB+ daily data with 99.8% reliability and 35% cost reduction. • Improved Spark workflow efficiency by 60% and delivered real-time analytics for 500M+ transactions. • Led data migration of 5TB+ from SQL Server to Snowflake with 100% data integrity. • Earned 5+ Snowflake professional badges and contributed as a community leader at TEDxClifton and AWS Cloud Pakistan. • 4th position winner at Teknofest Innovation Competition, securing investor interest for a cloud infrastructure automation tool. Industries & Projects • Financial Services: Real-time transaction pipelines, data quality frameworks. • Retail & eCommerce: Data warehousing, analytics, and performance optimization. • Smart Cities: Streaming infrastructure for IoT data (vehicles, weather, GPS). • Data Platform Modernization: Medallion architecture with Microsoft Fabric & Databricks. Why Work With Me I bring a balance of deep technical proficiency and real-world problem-solving. My clients value: • Clear communication & on-time delivery • Production-grade solutions with measurable ROI • Continuous collaboration and transparency • Commitment to innovation and reliability Whether you need a streaming data pipeline, a Snowflake warehouse, or an end-to-end AWS analytics ecosystem, I’ll help you design systems that are scalable, reliable, and cost-efficient. Let’s discuss your project — I’m available for hourly or fixed-price engagements.

I build reliable data pipelines and cloud data platforms using BigQuery, GCP, Python, SQL, and ETL. My work covers data ingestion, transformation, orchestration, data warehouse development, and BigQuery performance and cost optimization. I have 6+ years of data engineering experience across GCP, AWS, and Azure, working with retail, banking, healthcare, and life sciences data. RESULTS I'VE DELIVERED • Reduced BigQuery processing costs by 35% on a 40 TB dataset through partitioning, clustering, and query redesign • Reduced production incidents by 30% by modernizing Apache Airflow orchestration and cloud runtime • Saved 25+ engineering hours per week by automating manual data engineering workflows • Led a cross-cloud migration from Microsoft Fabric/Azure to GCP BigQuery for enterprise analytics • Unified CRM, ERP, marketing, clickstream, API, and vendor data into analytics-ready datasets • Built cloud data platforms with defined ingestion, processing, orchestration, and serving layers for batch and near real-time analytics GCP & BIGQUERY In my professional data engineering work, I've built and supported production data solutions using Google Cloud, including BigQuery, Cloud Storage, Cloud Functions, Cloud Composer/Airflow, Pub/Sub, and Python. My work includes building ETL/ELT pipelines, loading and transforming data in BigQuery, automating cloud workflows, optimizing SQL and warehouse performance, and designing reliable data flows for analytics. My Upwork experience has primarily focused on Python data engineering, SQL, ETL, data processing, PySpark, and Azure Databricks. I bring that same engineering foundation to GCP and BigQuery projects. WHAT I CAN HELP YOU WITH BigQuery & GCP • BigQuery data warehouse development • BigQuery query and cost optimization • GCP data pipeline development • Python → BigQuery ETL pipelines • API → BigQuery data ingestion • Cloud Storage → BigQuery pipelines • Airflow / Cloud Composer orchestration • Data migration to BigQuery • GCP data integration and automation Data Engineering • Python ETL/ELT pipeline development • SQL data transformation and processing • Data integration from APIs, databases, files, CRMs, and other sources • Data warehouse development • Data modeling for analytics • Data quality and validation • Pipeline monitoring and reliability • Batch and near real-time data processing Databricks & Big Data • Azure Databricks • PySpark • Apache Spark • Delta Lake • Kafka • Event Hub • Lakehouse architecture LAKEHOUSE & MULTI-CLOUD EXPERIENCE GCP: BigQuery, Cloud Storage, Cloud Functions, Cloud Composer, Airflow, Pub/Sub, Dataproc, Cloud Scheduler AWS: S3, Glue, Redshift, Athena, Lambda, EMR Azure: Databricks, Data Factory, Synapse, ADLS Gen2, Delta Lake, Microsoft Fabric I've also worked with Apache Iceberg for AWS/S3 lakehouse architectures, including schema evolution, time travel, and scalable querying. ANALYTICS ENGINEERING I build analytics-ready datasets using SQL and dbt, with a focus on reliable transformations, data modeling, data quality, and BI-ready data structures. AI-POWERED DATA AUTOMATION I also build Python-based data workflows using OpenAI, Anthropic, and Gemini APIs for data extraction, classification, enrichment, and automation. The focus is production-ready automation with validation, error handling, monitoring, and cost control rather than just proof-of-concept demos. TECH STACK Data Engineering: Python, SQL, ETL, ELT, Data Pipelines, Data Warehousing, Data Modeling, Data Integration GCP: BigQuery, Cloud Storage, Cloud Functions, Cloud Composer, Airflow, Pub/Sub, Dataproc, Cloud Scheduler AWS: S3, Glue, Redshift, Athena, Lambda, EMR Azure: Databricks, Data Factory, Synapse, ADLS Gen2, Delta Lake, Microsoft Fabric Big Data: Apache Spark, PySpark, Kafka, Hive, Apache Iceberg Analytics Engineering: dbt, SQL, Data Modeling AI: OpenAI API, Anthropic API, Gemini API, LLM Data Automation HOW I WORK You get a clear plan before I start coding, regular progress updates throughout the project, and documentation your team can use after delivery. I focus on building solutions that are reliable, maintainable, and practical for production, not just code that works once. If you have an existing pipeline, BigQuery environment, data warehouse, or data integration problem, send me a short description of your current setup and what you're trying to achieve. I'll help you identify the best approach.

Most dashboards are not a reporting tool problem. They are a data problem. Wrong sources, broken refresh cycles, no proper model underneath. The result is a dashboard nobody trusts or uses. I am a 𝐁𝐈 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟒+ 𝐲𝐞𝐚𝐫𝐬 of experience building 𝐦𝐨𝐝𝐞𝐫𝐧 𝐝𝐚𝐭𝐚 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 for SaaS companies, marketplaces, and high-growth startups. I specialize in end-to-end data stack delivery, including multi-source ingestion, data warehouse setup, dbt transformations, orchestration, and dashboards that teams actually use to run their businesses. I work with the modern data stack, including dlt, Fivetran, dbt, BigQuery, Snowflake, ClickHouse, Dagster, and Hex. I deliver systems that you fully own. No proprietary SaaS lock-in. No black-box pipelines. Everything is thoroughly documented and handed over to your team. 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐨𝐦𝐞 𝐭𝐨 𝐦𝐞 𝐰𝐡𝐞𝐧: • Reporting is still manual and eats hours every week • Dashboards exist but numbers never agree across teams • Data is scattered across CRM, ads, product, billing, and support with no unified view • Postgres schema changes silently break downstream reports • They need a clean, production-grade data stack built properly from scratch • They want AI-derived signals sentiment scoring, churn flags, health scores automated into their dashboards 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 • End-to-end data stack delivery (Ingestion → Data Warehouse → Transformation → BI & Analytics) • Multi-source ETL/ELT pipeline development using dlt, Fivetran, and Airbyte • Data warehouse design and implementation with BigQuery, Snowflake, ClickHouse, and Redshift • dbt data modeling, including staging, intermediate, and mart layers with testing and documentation • Pipeline orchestration using Dagster (Cloud and self-hosted deployments on Kubernetes, GKE, and AKS) • Dashboard and reporting development in Hex, Metabase, Looker, Power BI, and Tableau • Analytics solutions including revenue analytics, customer segmentation, product analytics, cohort retention analysis, churn prediction, and sentiment analysis • Data quality monitoring, documentation, and stakeholder-ready reporting 𝐌𝐲 𝐓𝐨𝐨𝐥𝐛𝐨𝐱: 📊 𝐁𝐈 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬: Hex, Metabase, Power BI, Looker Studio, Superset, Tableau, Klipfolio 💽 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 & 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠: BigQuery, Snowflake, Clickhouse, Supabase, dbt 📈 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: SQL, Python (Pandas, LangChain), R 📎 𝐒𝐨𝐮𝐫𝐜𝐞𝐬: GA4, Segment, Stripe, HubSpot, Mixpanel, Posthog, Pylon 🔄 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰: Airbyte, Zapier, Slack, Notion I deliver production-ready data pipelines with dbt models, testing, and documentation, not just connected dashboards. Every solution is built for accuracy, maintainability, and long-term ownership by your team. Before project completion, I validate metrics, review outputs with stakeholders, and ensure the data is trusted and understood. 𝙃𝙖𝙫𝙚 𝙖 𝙙𝙖𝙩𝙖 𝙤𝙧 𝙧𝙚𝙥𝙤𝙧𝙩𝙞𝙣𝙜 𝙘𝙝𝙖𝙡𝙡𝙚𝙣𝙜𝙚? Send a brief overview of your data sources and goals. 📩 Just drop a message. I’ll take it from there. Talk soon, Hadiqa. Your data’s new best friend.

𝗔𝘇𝘂𝗿𝗲,𝗙𝗮𝗯𝗿𝗶𝗰,𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 Data Engineer & Data Architect with 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲, 𝗘𝗧𝗟/𝗘𝗟𝗧, 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲 & 𝗚𝗖𝗣. I build scalable Data Pipelines, Cloud Data Warehouses, Lakehouses and BI solutions using 𝗣𝘆𝗦𝗽𝗮𝗿𝗸, 𝗦𝗤𝗟, 𝗱𝗯𝘁, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 & 𝗟𝗼𝗼𝗸𝗲𝗿 𝗦𝘁𝘂𝗱𝗶𝗼. Why Work with Me? 🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 𝘄𝗶𝘁𝗵 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗜 ⭐ 𝗢𝘃𝗲𝗿 𝟱𝟬 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵 𝟱 𝘀𝘁𝗮𝗿 𝗿𝗮𝘁𝗶𝗻𝗴𝘀 ⏱ 𝟯𝟭𝟬𝟬+ 𝗵𝗼𝘂𝗿𝘀 𝗹𝗼𝗴𝗴𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ✔ 𝗛𝗮𝗻𝗱𝘀 𝗼𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘁𝗼 𝗟𝗮𝗿𝗴𝗲 𝗦𝗰𝗮𝗹𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 My Expertise Includes: ✔ Google Cloud: Google Sheets, Analytics, Tag Manager, BigQuery, Cloud Function, Dataflow, Pub/Sub, Storage Bucket, Looker ✔ Microsoft Azure: Datalake Gen2, Blob Storage, Data Factory, Synapse, Analysis Services, SQL Data Warehouse, Event Hub, Databricks ✔ Microsoft: T-SQL, SSIS, SSAS, Power BI ✔ Amazon Web Services (AWS): S3, DynamoDB, Kinesis, RDS, Redshift, Glue, Lambda ✔ Other Tools: Databricks, Snowflake for Delta Lakehouse, DBT, SQL, Python I’ve designed and implemented data architecture for Fortune 50 to 500 companies, providing customized solutions that meet complex data challenges. If you're looking for a data expert to help transform your data into actionable insights, let’s connect! I'm just one message away and excited to work with you.