Hire the Best Talend Open Studio Specialists
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Data Integration & Big Data Specialist | Talend, Spark, Airflow, AWS Expert I am a seasoned Data Integration and Big Data Specialist with over 9 years of experience at Sopra Steria, delivering cutting-edge solutions using Hadoop, Talend, Spark, Airflow, and cloud technologies. My expertise lies in designing, implementing, and optimizing robust data pipelines and systems to handle complex business requirements. Key Strengths & Skills Data Engineering Expertise: Proficient in processing large datasets, both structured and semi-structured, with advanced Spark performance tuning to maximize efficiency. Cloud Specialist: Extensive experience in AWS services, including Redshift, S3, EMR, EC2, and Lambda, ensuring scalable and secure data processing. ETL Mastery: Designed and developed highly efficient Talend jobs for ETL processes, with a focus on performance optimization and scheduling in EC2. Orchestration & Automation: Expert in Apache Airflow for orchestration, designing complex DAGs, and automating data validations using shell scripting. CI/CD Implementation: Skilled in implementing CI/CD pipelines using Jenkins, streamlining deployment processes for enhanced efficiency. Cross-System Data Sync: Expertise in synchronizing data between AWS Redshift and Netezza. Notable Achievements Spark Optimization: Successfully tuned Spark jobs for large-scale data processing on Amazon EMR clusters, achieving significant performance improvements. Automation Initiatives: Designed and automated complex data validation frameworks, reducing manual intervention and increasing accuracy. Client Collaboration: Participated in sprint planning meetings, design discussions, and user story clarifications, ensuring smooth development and testing phases. Production Deployment: Led the deployment of Talend and Spark jobs in production clusters with meticulous configuration and monitoring. Education & Certifications B.Tech - Information Technology With a passion for solving data challenges and a proven track record of delivering impactful solutions, I am ready to contribute to your project with efficiency and precision. Let’s collaborate to turn your vision into reality!

I’m a Senior Data Engineer with 9+ years of experience building scalable data platforms, automated ETL/ELT pipelines, and end-to-end analytics systems for startups to enterprise clients. I help organizations turn raw, messy data into clean, reliable, and analytics-ready datasets using modern cloud data stacks. What I Can Help You With ➤ ETL/ELT Development (Python, Airflow, AWS Glue, Talend) ➤ Cloud Data Engineering (AWS, Snowflake, Redshift, S3, Lambda) ➤ Data Warehouse Architecture & Optimization ➤ API Integrations (SaaS - Databases / Warehouses) ➤ SQL Development & Performance Tuning ➤ Dashboard/Data Model Preparation (Power BI, QuickSight, Tableau) ➤ Data Migration from CRMs/ERPs (Salesforce, HubSpot, Workday, Custom APIs) ➤ Automation of repeated data processes (Python + Cloud services) Why Clients Work With Me 🔹 Clear communication and structured delivery 🔹 Clean, audit-ready pipelines with proper logging & monitoring 🔹 Fast turnaround and long-term maintainable code 🔹 Experience across Healthcare, Finance, Retail, and SaaS domains My Recent Projects: ⭐CRM/ERP to Snowflake migration with automated Python pipelines ⭐AWS Data Platform modernization using Glue, Lambda, and Redshift ⭐Finance & Claims data processing using PySpark on AWS ⭐Custom API integrations to centralize business data ⭐Dashboard backend (SQL + models) for Power BI & QuickSight If you need ✔ Faster data pipelines ✔ A scalable cloud data architecture ✔ Clean data models for BI ✔ Help with Talend/Airflow/Snowflake ✔ A partner who delivers on time, every time I can help you. Send me a message, and let’s discuss your project.

Most businesses are drowning in data but starving for insights - pipelines that break, dashboards nobody trusts, reports built manually in Excel. I fix that. 5+ years building enterprise data platforms: 800M+ records processed daily 70% pipeline runtime reduction via dbt 50+ Power BI dashboards delivered 98% data trust through quality frameworks Stack: Snowflake, Databricks, dbt, Airflow, PySpark, Microsoft Fabric, ADF, AWS, Azure, Power BI, Python Beyond the warehouse layer, I've also built production backend systems integrating third-party APIs — WhatsApp Cloud API, Supabase, webhook orchestration — deployed on cloud infrastructure. Available 8 AM - 2 PM IST. Open to short and long term projects. Let's talk.

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

I specialize in building reliable RAG systems that let teams safely use their internal data with LLMs. I also have 11.5 years of experience as a Mainframe developer. I have worked in Agile projects.

I can make Data, Tech, and AI work for your company. I'm a Data Engineer and Cloud Architect with a track record of building production-grade data systems. My pipelines hold 99.5% uptime with modular DAGs, monitoring, and automated recovery. My data quality SLAs stay under 15-minute freshness windows. Here's what that's looked like in practice: ✅ $4M+ in annual efficiency gains through AI-powered data products ✅ $500K/factory/year in operational cost reduction via Industry 4.0 data solutions ✅ Pipeline processing time cut from 2–3 days to a few hours — fully automated ✅ MTTR reduced from ~4 hours to ~10 minutes using exception dashboards and RCA workflows ✅ 99.5% data quality SLA via pre/post checks, KPI null checks, and alerting ✅ 3 production AgentForce agents deployed and automating real workflows What I build: - End-to-end data pipelines (batch & streaming) on AWS, GCP, and Azure - Lakehouse and cloud data platform architecture (Snowflake, Databricks, BigQuery) - GenAI and RAG integrations connected to governed, production data - BI layers that executives and ops teams actually use (Looker, Tableau, Power BI) - AgentForce deployments for sales and customer service automation - IoT and real-time sensor pipelines for manufacturing and logistics How I Work First call is always just a conversation - I ask a lot of questions before I recommend anything. Once we're clear on what needs to be built and why, I put the architecture on paper before writing a single line of code. That saves both sides from expensive mid-project surprises. When the work is done, it's fully yours - your infrastructure, your code, your team maintaining it. I don't build things that need me around to function, but I am available after go-live if needed. Tech Stack -Data Engineering - Spark | Airflow | Selenium | Kafka | Talend | Docker | Kubernetes | Hadoop -BI - Tableau | Power BI | Looker | QlikView -Database & Storage - Snowflake | Amazon Redshift | Google BigQuery | Databricks | Kafka | Airflow | PostgreSQL | TimescaleDB -AI/ML & Data Analytics - Statsmodels | SciPy | Spark | Airflow | pytest | Amazon SageMaker | Unittest | LightGBM | Python | Salesforce Einstein AI -DevOps & Quality - Jenkins | GitLab | GitHub Actions | Prometheus | Grafana | ELK Stack | Cypress | Selenium | pytest | SonarQube -Gen AI / Agentic AI - ChatGPT | Salesforce AgentForce | LangChain -Streaming & Real-time - Kafka | Flink | Amazon Kinesis | Apache Beam -Cloud & Infrastructure - AWS | Google Cloud | Azure | Kubernetes | Terraform | Looker | Prometheus | Grafana -Business Systems - HubSpot | SAP | Salesforce Open to long-term partnerships - White-label and agency collaborations welcome. Ready to build? Message me with what you're trying to solve. I will show you how I’d approach it and how we can collaborate. Thanks