Hire the Best Talend Data Integration Specialists
in Pakistan

I help businesses turn raw data into clean, reliable pipelines and dashboards they can actually use. With 3 years of ETL experience at a commercial bank, an MSc in Data Science from the UK, and an official Snowflake certification, I bring production-level skills to every freelance project I combine strong production experience in PL/SQL and enterprise data pipelines with modern cloud tools to deliver scalable analytics solutions. My core expertise includes: Data warehousing and ELT pipelines in Snowflake. Data modeling and transformations with dbt. Building interactive dashboards and reports in Power BI. Python, SQL, AWS S3, and API development (FastAPI). Pipeline orchestration and automation. I recently completed the Snowflake Data Engineering Professional Certificate, Microsoft Power BI Data Analyst Professional Certificate, and Google Advanced Data Analytics Professional Certificate, and I actively apply these skills in real-world environments. Notable work: Built end-to-end sales analytics solution (S3 → Snowflake + dbt → Power BI) Designed and optimized ETL processes for banking data using PL/SQL and OBIEE Medallion architecture implementations and predictive modeling projects. I’m detail-oriented, responsive, and focused on delivering clean, well-documented, production-ready work. Whether you need a new Power BI dashboard connected to Snowflake, migration from legacy systems, data modeling, or full pipeline development — I can help. I’m currently available for freelance projects and happy to hop on a quick call to discuss your requirements with no obligation. Looking forward to supporting your data goals! I hold the following certifications: ❄️ Snowflake Data Engineer Certificate + 5 Snowflake Badges 📊 Microsoft Power BI Associate Data Analyst Certificate 🔍 Google Advanced Data Analytics Certificate

Just shoot me a DM, and I’ll get back to you right away! 𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐒𝐭𝐚𝐜𝐤: ➔ Databases & Warehousing → BigQuery, Snowflake, Redshift, PostgreSQL, MySQL ➔ Data Engineering → Extract, Transform Pipelines, Data Warehousing, Orchestration, Databases ➔ Cloud & DevOps → GCP, AWS, Azure, Docker, Kubernetes, Terraform ➔ Orchestration & Transformation → Python, Cloud, Lambda Functions, Airflow, dbt, PySpark, ➔ BI & Analytics → Metabase, Looker Studio, Tableau, Power BI, Qlik Sense, Plotly ➔ Programming & Automation → Python, SQL, REST APIs, Cloud Functions 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: — Designing scalable data architectures and cloud-native data platforms — Building end-to-end ETL/ELT pipelines using Python, SQL, Airflow, and dbt — Migrating on-prem data to modern data warehouses like BigQuery or Snowflake — Developing real-time data streaming pipelines using Kafka and PySpark — Creating interactive dashboards for BI, analytics, and performance monitoring — Optimizing databases for faster queries, better storage, and reduced cost — Setting up CI/CD pipelines and automated deployments for data workflows 𝐘𝐨𝐮’𝐥𝐥 𝐠𝐞𝐭: 👉 Clean, scalable, and production-grade data pipelines & dashboards 👉 Transparent communication — regular updates, clear timelines, zero surprises 👉 On-time, on-budget delivery — 95%+ success rate with global clients 👉 A product-first approach — focusing on business outcomes, not just code 👉 Clear YES/NO on feasibility before work begins 𝐍𝐨𝐭 𝐚 𝐟𝐢𝐭 𝐢𝐟: ❌ You prioritize cost over long-term scalability ❌ You expect unrealistic turnaround times ❌ Clear communication and mutual respect aren’t important Just shoot me a DM, and I’ll get back to you right away to discuss your project needs. Together, we can set up a quick call to explore how I can help you achieve your goals efficiently and effectively.

I am a tech-agnostic data engineer who enjoys solving complex data problems, finding patterns in messy datasets, and making sure the work actually supports the business. My focus is always on clean architecture, performance, and making data useful - not just moving it around.Here is what I have worked with: - Programming & Scripting: Python (Flask, FastAPI, Django, Selenium, PySpark), SQL - Data Engineering & Integration: Talend, Mage.ai, Apache Airflow, Airbyte, Databricks, Kafka, Debezium - Databases & Data Warehousing: Data Modeling, PostgreSQL, MySQL, Snowflake, Greenplum, MongoDB, Firebase, ClickHouse - Cloud & DevOps: AWS (Lambda, API Gateway, S3, RDS, SQS and more), Docker, Kubernetes, Azure DevOps, Terraform, CloudFormation - Security & Compliance: Secure and compliant pipeline design (HIPAA, GDPR, SOC 2), data governance, privacy-first architectures - Testing & Automation: Postman, Cypress.io, Swagger, Automated Data Workflows - Data Visualization: Power BI, Metabase, Google Data Studio, Grafana - Collaboration & Leadership: Cross-functional team mentoring, process optimization, data-driven decision-making

I am a Senior Data Engineer & Data Analyst with over 7 years of hands-on experience across SQL Databases, Data Engineering, ETL Pipelines, Cloud environments, Data Analytics and Data Warehousing. I deliver end-to-end data solutions, seamlessly bridging the gap between backend ETL Pipelines and frontend business insights to help companies make faster, better decisions. WHAT CAN I DO FOR YOU: • Build ETL and ELT pipelines to centralize fragmented business data. • Design data warehouses and dimensional models (star and snowflake). • Optimize complex SQL queries and improve database performance using standard data optimization techniques. • Develop interactive, automated dashboards and reporting suites for business stakeholders using Power BI, MicroStrategy, Superset, and Qlik. • Implement cloud data solutions using the Microsoft Azure ecosystem (Data Factory, Synapse, Fabric, Data Lake). • Clean, structure, format, and prepare massive, messy datasets for deep data analytics. TECHNICAL STACK: • Cloud & Warehouses: Azure (Data Factory, Synapse, Fabric, Azure SQL, ADLS), Snowflake, Teradata. • ETL Tools: Azure Data Factory, Talend Open Studio, Pentaho, Informatica, dbt, Apache NiFi. • BI & Analytics: Power BI, MicroStrategy, Apache Superset, Qlik, Looker Studio, Power Query. • Databases: PostgreSQL, MySQL, SQL Server, Oracle, Teradata, MongoDB, Cassandra. • Languages: SQL (T-SQL, PL/SQL), Python (Pandas, NumPy), PySpark. • Modeling: Data Modeling (ERD, Star Schema, Snowflake Schema). WHY CLIENTS HIRE ME: • 30+ successful data projects completed across engineering and analytics domains. • Strict focus on performance, long-term scalability, and clean, debt-free data architecture. • Clear, transparent communication and reliable, on-time delivery. • True end-to-end data expertise, tracking your data lifecycle from raw pipeline to final insight. If you need a reliable specialist who can streamline your data pipelines and turn raw tables into clear business insights, let’s talk. Click the "Invite to Job" or "Message" button to discuss your project goals.

I help companies turn messy, fragmented data into reliable infrastructure that powers analytics, automation, and AI. With a team of 20+ engineers, I deliver production-grade data systems — not prototypes that break in the real world. What I do: Data Engineering — Build scalable ETL/ELT pipelines, data warehouses, and lakehouses (Snowflake, BigQuery, Databricks, Redshift) AI-Ready Infrastructure — Set up RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and LLM integrations that connect your data to AI Pipeline Orchestration — Automate workflows with Airflow, dbt, Dagster, and Prefect Analytics & Dashboards — Deliver decision-ready reporting in Power BI, Tableau, and Looker Cloud & DevOps — Architect on AWS, GCP, and Azure with cost efficiency and reliability in mind Tech stack: Python, SQL, Spark, dbt, Airflow, Snowflake, Databricks, LangChain, OpenAI/Anthropic APIs, AWS/GCP/Azure Why work with me: ✅ End-to-end ownership — from data ingestion to AI deployment ✅ Backed by a full engineering team for speed and scale ✅ Clear communication, on-time delivery, and clean documentation ✅ Proven track record across startups and enterprise clients Whether you need a single pipeline fixed or a complete AI-ready data platform built from scratch, I bring the technical depth and reliability to get it done right. Let's talk about your project — send me a message and I'll respond within a few hours.

🚀 I help businesses turn messy, scattered data into clean, automated, decision-ready systems. ⚡ 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 | 🏆𝟖𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 | 📊𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐓𝐋 & 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 I help startups and growing companies turn scattered, unreliable data into automated, decision-ready systems. From building production-grade ETL pipelines to deploying Power BI dashboards used by executives, I deliver data platforms that are scalable, secure, and cost-efficient. With 𝟒+ years of professional experience and 𝟖𝟎+ successful data projects, I specialize in making data fast, accurate and business-ready. ⚡ 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ◼ End-to-End ETL / ELT Pipelines (Airflow, Azure Data Factory, Databricks) ◼ Cloud Data Warehousing & Lakehouse Architecture ◼ Big Data Processing with PySpark & SQL ◼ Database Design, Modeling & Performance Optimization ◼ Data Migration & System Integration (APIs, Legacy Systems, SaaS Tools) ◼ Power BI Dashboards & Analytics Automation 🤝 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐟𝐨𝐫 𝐘𝐨𝐮 ◼Build automated ETL/ELT pipelines (Airflow, ADF, Databricks, AWS Glue) ◼Create cloud data warehouses & lakehouses (Snowflake, Redshift, BigQuery, Synapse) ◼Develop Power BI dashboards & data models used by executives ◼Integrate data from APIs, SaaS tools & legacy systems ◼Improve data quality, performance & reporting speed ◼Migrate on-premise systems to AWS, Azure, or GCP 💬 Smarter data. Faster decisions. Higher ROI. Let’s build pipelines that actually power your growth. 🔑 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 #DataEngineer #Azure #Databricks #ApacheAirflow #ETLPipelines #BigData #PySpark #SQL #PowerBI #DataMigration #DataIntegration #DataWarehousing #CloudDataEngineering #BusinessIntelligence #DatabaseDesign