Hire the Top Freelance Informatica Developers in the World

Jeff is a Senior BI Consultant with a penchant for working on the cutting edge of high-performance computing, data science and advanced analytics projects; providing oversight for design decisions, best practices and processes. He employs modern BI/ETL tools for processing huge volumes of datasets; creating, maintaining and optimizing data delivery and extraction - having successfully delivered 4 data warehouses, 8 BI reporting systems and dozens of data analysis projects for clients.

🧠 AI/ML specialist with 8+ years deploying fraud detection, NLP, and churn models in real-world systems ⚡ Delivered scalable ML pipelines and MLOps solutions for BNP Paribas, ZingHR, and Ambrella AI 🔌 Integrated custom models via APIs, enabling fast, stable production deployments 📊 Strong data engineering background — expert in Python, SQL, Apache Spark, and real-time processing ☁️ Deep experience with cloud platforms (AWS, GCP, Azure) and end-to-end architecture 🎓 Data science instructor and Master’s student, focused on turning advanced analytics into business results

Experienced IT professional with over 17 years of distinguished career in IT, specializing in integration and cloud technologies. I have worked on various Digital transformation and migration projects. Skilled at translating business requirements into innovative technical strategies, leading cross-functional teams, and driving successful project outcomes. Expertise in architecting API-driven solutions, data mapping, middleware, and enterprise service bus (ESB) implementations.

Shreyank is a Senior Full-stack Python Engineer with 11+ years of experience designing and building scalable back-end systems, APIs, real-time data applications, and distributed services across AWS, Azure, and GCP environments. He designs, builds, and scales data systems that power critical business decisions and ML platforms, specializing in turning complex data challenges into secure, performant, and production-grade solutions. Passionate about creating reliable, observable, and cost-efficient data systems, Shreyank has architected real-time streaming data pipelines, batch ETL workflows, cloud-native lakehouses, and analytics platforms that handle billions of records.

Shrikanth has 5+ years of experience in the IT industry, of which 4+ years in ETL testing, using Azure, SQL, Informatica PowerCenter, Snowflake, Agile, Python, PySpark, and Jira. He creates ETL data pipelines using Databricks and Airflow to schedule ingestions and ETL jobs. Shrikanth implements data extraction and transformation workflows in Azure Data Factory to pull data from on-premise and cloud-based systems.

Senior MLOps & Data Infrastructure Engineer with 5+ years of experience architecting end-to-end production environments for AI/ML workloads. Expert in Model Deployment and Monitoring using AWS SageMaker, including managing real-time endpoints, batch inference, and model versioning via SageMaker Model Registry. Highly proficient in Infrastructure as Code (Terraform & CloudFormation) for automating secure, scalable cloud resources. Proven track record in building high-throughput ETL pipelines with AWS Glue and Airflow to deliver ML-ready datasets while ensuring operational excellence through CloudWatch performance monitoring.

Forward-thinking Al and cloud modernization leader with deep expertise in driving enterprise-scale Al transformation while strengthening cloud operations, platform reliability, and technical governance. Skilled at unifying Product, Engineering, Data Science, and Operations to deliver Al-enabled capabilities that enhance decision intelligence, automate workflows, and accelerate digital modernization. Equally adept at architecting cloud-native platforms, optimizing multi-cloud environments, and enforcing operational rigor through DevOps, laC, and ITIL-aligned service governance. Proven ability to operationalize RAG, multimodal, and agentic Al systems while ensuring security, compliance, and cost efficiency across Azure, AWS, and hybrid ecosystems. Recognized for translating complex Al/ML and cloud engineering concepts into business value, leading cross-functional teams through large-scale change and delivering measurable impact through disciplined program execution and resilient cloud operations.

Lalita is a seasoned data engineering & ML/Al professional with ~17 years of experience delivering real-time analytics, big data, & ML solutions across multiple industries. Expertise in the end-to-end project lifecycle, including data infrastructure design, cleansing, transformation, modeling, optimization, QA, and deployment of ETL/data pipelines to SQL/NoSQL warehouses, Delta Lake, and cloud data lakes. Skilled in designing and managing batch and real-time pipelines ingesting data from APIs, legacy systems, IoT sensors, databases, and files, integrating with streaming frameworks. Experienced in workflow orchestration and job scheduling.