Hire the Best Talend Open Studio Specialists in Indore, IN

Hi, As a seasoned data engineering professional, I have successfully spearheaded multiple high-impact projects across various domains, utilizing a comprehensive array of technologies to enhance data processing, integration, and business analytics. My expertise spans from creating robust data platforms to optimizing data-driven decision-making processes. Technologies Expertise: Data Platforms and Tools: Extensively experienced with Snowflake, including advanced features like Snowpark, SnowSQL, and Snowpipe. Proficient in leveraging ETL tools such as Talend, Informatica, DBT, and Matillion, and integrating systems like Amplitude and SFMC for comprehensive marketing insights. Programming and Analytics: Advanced proficiency in Python, utilizing libraries such as PySpark, NumPy, and pandas for data analysis and machine learning. Skilled in managing cloud environments and tools across GCP, Azure, and AWS, facilitating seamless data operations and scalability. Database and API Management: Expert in managing SQL Server, Oracle databases, and designing RESTful APIs, transitioning legacy systems to modern, scalable architectures. Work Contributions: Data Integration and Pipeline Design: Successfully designed and implemented data pipelines that collect, cleanse, and merge data from diverse sources, ensuring unified and analytics-ready datasets. My work includes setting up enterprise-level data fetching from platforms like Outlook, Google Ads, and LinkedIn, enhancing data accessibility and utility. Cloud Migration and Automation: Led the migration of data infrastructure from on-premises to cloud-native solutions, significantly reducing overhead and improving data agility. Automated data workflows using AWS services, optimizing operational efficiency and response times. API Development and System Upgrades: Transitioned from WCF SOAP-based services to modern REST APIs, improving system interoperability and performance. My approach focuses on thorough analysis and testing, ensuring robust implementations. Business Impact: Enhanced Data Utilization: My projects have consistently enabled deeper insights into customer behaviors and preferences, facilitating personalized marketing strategies that significantly boost return on investment. Operational Excellence and Growth: Through strategic migrations to cloud-native data systems and by optimizing data pipelines, I have empowered businesses to scale operations and explore new growth avenues effectively. These transformations have led to improved data handling capabilities and cost efficiencies. Strengthened Client Relationships: My focus on collaborative project execution and stakeholder engagement has helped organizations maintain and expand their client bases. By providing actionable insights and reliable data solutions, I have assisted companies in understanding and leveraging their data to outperform competition and achieve strategic goals. This blend of technical acumen, strategic implementation, and impactful results demonstrates my capability to deliver superior data engineering solutions that meet and exceed business needs. I am dedicated to bringing the same level of excellence and innovation to your projects, ensuring that your organizational objectives are achieved efficiently and effectively. Thanks.

I help businesses build reliable, scalable, and well-governed data solutions that turn raw data into meaningful business insights. I specialize in Data Engineering, Data Management, Data Warehousing, ETL, Data Governance, Business Intelligence, and Cloud Data Platforms. My focus is on helping organizations design, build, optimize, and manage data ecosystems that support reporting, analytics, operational efficiency, and strategic decision-making. My expertise includes: • Data Architecture & Solution Design • Data Warehouse Design & Implementation • ETL/ELT Development and Optimization • Data Integration & Migration • Data Governance & Data Quality • Master Data Management (MDM) • Metadata Management & Data Catalogs • Business Intelligence & Reporting • Cloud Data Platforms • Team Leadership & Project Delivery Technical Skills: • Informatica PowerCenter (IPC) • Informatica Intelligent Cloud Services (IICS) • Informatica IDMC • Snowflake • Databricks • AWS • Microsoft Azure • Microsoft Fabric • SQL & PL/SQL • Power BI • Tableau • QlikView • Collibra • Microsoft Purview • Secoda • JIRA & ServiceNow Services I Offer: ✔ Data Warehouse Design and Development ✔ ETL Development and Support ✔ Data Migration Projects ✔ Data Governance Framework Implementation ✔ Data Quality Assessment and Improvement ✔ Cloud Data Platform Solutions ✔ BI Dashboards and Reporting Solutions ✔ SQL Development and Performance Tuning ✔ Master Data Management (MDM) Solutions ✔ Technical Documentation and Solution Design ✔ Informatica and SQL Training I have hands-on experience across the complete project lifecycle, from requirement gathering and solution design to development, testing, deployment, and support. I work closely with stakeholders to understand business needs and deliver practical, scalable, and maintainable solutions. Whether you need help building a new data platform, modernizing existing systems, improving data quality, implementing governance processes, creating executive dashboards, or training your team, I can help deliver solutions that align technology with business goals. Let's discuss your project and how we can turn your data into a strategic asset.

Senior Data Engineer and AI Engineer with 15+ years in data engineering, AI engineering, and cloud data platforms. I build production data pipelines, ETL workflows, LLM and RAG systems, and machine learning infrastructure on AWS, GCP, Azure, Snowflake, Databricks, and Apache Spark. Most of my data engineering work is end to end. I take a messy data problem, or an AI feature that "almost works," and turn it into something reliable that runs in production without someone babysitting it. After 15+ years as a data engineer, you learn the hard part is rarely the model or the framework. It's the data, the edge cases, the pipelines, and keeping the system maintainable once you've handed it over. As an AI engineer I treat LLM and RAG work the same way: take a prototype that almost holds together and make it a production AI system that survives real traffic, real users, and real data. Recent data engineering and AI engineering projects: - An AI inbound phone system built on Twilio with OpenAI Whisper and GPT-4, handling real-time voice intake and call routing. - Enterprise Power BI data models for healthcare and financial reporting, around 30 tables and 40+ DAX measures, including IFRS 9 staging, RAROC, and NIM trends. - HL7 FHIR R4 integrations with Epic, Cerner, and Athenahealth for a clinical AI platform. - Cut LLM inference cost on a high-volume voice product by 25% by reworking how it used the OpenAI Realtime API and its per-turn token replay. Data engineering: Apache Spark, PySpark, dbt, Apache Airflow, ETL and ELT pipelines, data warehousing, data modeling, Snowflake, BigQuery, Redshift, Databricks, Delta Lake, Kafka, Kinesis, Fivetran. AI engineering and machine learning: OpenAI GPT-4o, Claude, Gemini, LangChain, LlamaIndex, RAG pipelines, AI agents, prompt engineering, vector search (Pinecone, Weaviate, pgvector), PyTorch, TensorFlow, scikit-learn, MLflow, model deployment. Cloud and DevOps: AWS (Glue, EMR, Lambda, Redshift, SageMaker, Athena), GCP (BigQuery, Dataflow, Vertex AI), Azure (Synapse, Data Factory, Azure ML), Terraform, Docker, Kubernetes, GitHub Actions. Automation and integration: n8n, Make, Power Automate, REST and GraphQL APIs. Governance and compliance: GDPR, HIPAA, SOC 2, RBAC, PII masking, encryption, data lineage. Languages: Python, SQL, Scala, PySpark, FastAPI, Flask. How I work: I'd rather ask the right questions up front than build the wrong thing quickly. I'll tell you when something is a bad idea, give you timelines I can keep, and leave you with code and documentation your own team can maintain. I've delivered data engineering and AI engineering projects for startups and enterprises across the US, Europe, and Asia. If you're looking to hire a data engineer or AI engineer who can own the work end to end, from raw data pipeline to production AI system, I'm available now. Tell me what you're building and I'll give you a straight answer on how I'd approach it.