Hire the Best Talend Data Integration Specialists
in India

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!

Highly Skilled Data Engineer with diverse experience in the following areas: ✅ Data analysis and ETL solution expertise. ✅ Snowflake DB Expertise- Developer. ✅ DBT step, administration and development on both DBT cloud and DBT core. ✅ Azure Data Factory ✅ Sharepoint and Onedrive Integration using Microsoft Graph API ✅ Airflow Workflow / DAG development ✅ Matillion ETL ✅ Talend ETL Expert- Integration, Java Routines, data quality. ✅ Salesforce Integration. ✅ Google Cloud Platform - Cloud Function, Cloud Run, Data Proc, Pub-Sub, Bigquery. ✅ AWS- S3, Lambda, EC2, Redshift. ✅ Cloud Migration - work with Bulk data and generic code. ✅ Python automation and API Integration ✅ SQL reporting. ✅ Data Quality Analysis and Data Governance solution architecture design. ✅ Data Validation using Great expectations(python tool) P.S. Available to work US - EST hours on demand. I have good exposure to data integration, migration, transformation, cleansing, warehouse design, SQL, Functions, and procedures. - Databases: Snowflake, Oracle, PostgreSQL, Bigquery. - ETL Tools: Azure Data factory, Matillion, Talend Data Fabric with Java - DB Languages and tools: SQL, SnowSQL, DBT(Data Build Tool). - Workflow management tool: Airflow. - Scripting language - Python. - Python Frameworks: Pandas, Spark, Great Expectations, - Cloud Ecosystem: AWS, GCP

Certified AI/ML & Data Engineering expert with proven success in deploying YOLO-based Computer Vision, GenAI Chatbots, BigQuery Data Lakes, and ETL Pipelines. I build intelligent, scalable systems that turn raw data into real-time insights for elite sports teams and businesses. Over the years, I’ve worked with international sports organizations and enterprises like Barclay's, Citigroup, Standard Life Insurance, American Express etc to turn raw data into actionable insights, deploying full-stack solutions that span data ingestion, model training, and visualization. Key Skills & Technologies: Python, YOLO, OpenCV, LLMs, BigQuery, Looker, Data Lake, Data Warehousing, ETL Pipelines, Data Migration, Analytics Dashboards Some Highlights of my work: ** AI-Powered Computer Vision Analytics using YOLO and deep learning to track players and events in football match videos ** LLM-Powered Search & Chatbot Application designed for a football club to make internal knowledge searchable and conversational ** Smart Budget Tracking Solution using Looker and BigQuery for real-time, interactive data visualizations ** Performance Data Lake and Data Warehouse architecture for an international cricket board to centralize and analyze player and match data ** Scouting Application for a professional football club, integrating machine learning models and custom analytics dashboards to support recruitment and decision-making How Can I Help You? ** I specialize in building end-to-end data and AI solutions tailored to your business goals. Here’s how I can help: ** AI & Machine Learning Solutions – From model development to deployment using YOLO, LLMs, and custom ML pipelines ** Computer Vision Systems – Object detection, tracking, and video analytics for sports, security, and manufacturing ** Generative AI Apps – Chatbots and knowledge assistants powered by LLMs, fine-tuned for your domain ** Modern Data Engineering – Scalable Data Lakes, Data Warehouses (BigQuery, Snowflake), and real-time ETL pipelines ** Data Migration & Integration – Clean and reliable data movement between systems ** Business Intelligence & Dashboards – Interactive visualizations using Looker and BigQuery for smarter decisions Whether you're a startup, enterprise, or sports organization, I can deliver reliable, production-grade solutions that turn data into impact. Let’s connect if you're ready to leverage AI and data engineering to elevate your business and If you need professional who will treat your task as most important thing, and you need the task done in timely manner with expertise and utilizing best practices.

A Senior Data Engineer with 8+ years of experience building reliable, scalable data pipelines and infrastructure, from data ingestion and transformation through warehousing, streaming, and data analytics with dbt, Snowflake, Airflow across AWS, Azure, and GCP with robust ETL and ELT. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow | Dagster | Prefect | Azure Data Factory ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

Data Integration specialist with over 19 years of experience in designing, building, maintaining and supporting Data warehouse and ETL applications. Extensive experience working on Snowflake, dbt, Datastage , Informatica, AWS, Unix/ Python Scripting. Experienced with relational databases - Snowflake, Netezza, DB2, Oracle and SQL server. Proficient in writing SQL queries to perform analysis and ELT loads into tables. Experience working on Bigdata tools – HDFS, Hive, Sqoop & Kafka. Exposure to Cloud technologies – ASW and Azure as data sources. Experienced working with diverse clients belonging to - Banking, Manufacturing, Restaurant and Retail domain. Good understanding of end-end architecture of Datawarehouse and applications worked on. Experienced in working on Agile (Scrum) & waterfall methodologies of project execution. Highly motivated, strong analytical skills, quick learner and interested to learn and work on new technologies.

Data Engineering. = ETL/ELT - Microsoft Azure Copilot Studio, Foundry, M365 Agents SDK AI Engineering = Machine Learning, PySpark = API access to LLM / Self Hosted LLM HIPAA Compliance: = Audit to determine PHI locations = Minimizing records with PHI = Audit Gaps in data security = Safeguard implementation = Procedures for Data breaches Microsoft Azure and Python Azure Data Warehouse Azure Data Factory Azure functions - Python Azure Data Bricks AWS and Python AWS Elastic Map Reduce (EMR) / Apache Spark, Hadoop (EMR) Serverless python functions : Lambda, Serverless ETL: Glue, Serverless SQL Query Service : Athena, Simple Queue Service / Simple Notification Service (SQS/SNS) Streaming Data : Kinesis Elastic MapReduce EC2 (ubuntu , Windows), Relational Database Service RDS ( Mysql, PostgreSQL) Core Technologies Python3, Pandas, PySpark, PyQt, PyTorch SQL MSSQL, Mysql , PostgreSQL, PrestoDB Django, Flask Git, Docker Extract Transform Load (ETL) ETL / ELT Tools : Talend, dbt, Airbyte, AWS Glue, Fivetrans Front End: Flutter ( with Flutterflow and Dart custom code) Data Visualization : Orange, Chartjs PowerBi, Metabase Data Integrations: Python : Python e-commerce API : Amazon Marketplace MWS API, Amazon seller central API, UPS, USPS, FEDEX API Integrations Python e-commerce : etsy API, ebay API, Shopify API, Aliexpress API, Flipkart API Python : Google Cloud Platform, Google HealthCare API Salesforce : Data Migration & Data Integration Salesforce Apex , Batch Apex, Scheduled Apex & Lightning Web Component Development Salesforce Certifications Held : Salesforce certified Administrator, Salesforce certified Developer , Zoho Creator Zoho API Integrations Domain Expertise: Health Tech Saas : HIPAA, HL7 EMR, EHR, APIs ElectroCardio Graph (ECG) Signal Analysis , Electro-Encephalo Graph (EEG) signal Analysis API Integration with NextGen , EPIC, Cerner . LegalTech: AI assisted Case Research. Case Document Retrieval, Case Summarization, Case Citation Paralegal