I am a Senior Java Backend Engineer with over 11 years of experience in developing high-availability backend systems and distributed microservices. My expertise includes building robust growth platforms, search and recommendation systems, and payment systems, consistently delivering solutions that enhance user engagement and operational efficiency. I have a strong command of Java, Spring Boot, and a variety of technologies such as Kafka, Redis, and MySQL. I excel in user growth scenarios, focusing on traffic strategy, experimentation platforms, and efficient product discovery. Whether you need to improve your existing infrastructure or build a new impactful system from the ground up, I bring the technical skills and project ownership mentality required for success. If you're ready to transform your backend systems, let's connect and explore how I can contribute to your project.

I help businesses build scalable, high-performance data platforms and ETL pipelines using modern big data and cloud technologies. With 7+ years of experience in banking and healthcare domains, I've delivered enterprise-grade solutions for processing terabytes of data, real-time streaming, and cloud-based analytics. Expertise: Apache Spark, PySpark, Java, SQL, Databricks, Snowflake, Kafka, Hadoop, AWS, Azure, Delta Lake, and ETL pipeline development. From designing data architectures and optimizing Spark jobs to implementing cloud-native data solutions, I can support your project from planning through deployment. Clear communication and delivering quality work on time are my priorities.

I am Data Architect/Senior Data Engineer involved in design and developing of Delta and Data Lake with Ten years experience. worked as database administrator (SQL,Server, postgreSQL) with Ten years industry experience. comprehensive experience in in data ingestion pipeline design, Data cleansing and advanced data processing using Azure data stack, Databricks, pyspark, Spark SQL and Data Modeling Implemented Lake house architecture using Databricks delta lake setup using unity catalog for batch and streaming process.

I can design, build, deploy and troubleshoot your application on AWS while offering: ↳ Fully automated solutions, so your project is ready to scale. ↳ Fast response times, so you are always aware of what is going on. ↳ Relentless focus on overdelivering and making your project successful. I've worked as a Solutions Architect at AWS and accumulate 9 years of experience building cloud solutions for startups, financial institutions and retail companies. By working with me, your project will: ↳ Come with complete documentation of what was done. ↳ Be built using well-known tools such as GitHub, Terraform, and Python. ↳ Have regular check-ins to ensure things are moving according to your priorities. To see examples of my work, check out my portfolio and review sections. If you are looking for a reliable partner to your AWS projects, send me a message. I look forward to discussing your project with you! Your next AWS DevOps Engineer, Fernando G. P.S. Here are some of the technologies I can help you with: - Analytics: Athena, Glue, Kinesis, Redshift - Application Integration: EventBridge, SNS, SQS, Step Functions - CI/CD: GitHub, CodeBuild, CodeDeploy, CodePipeline, Jenkins - Cloud Financial Management: Budgets, Cost Explorer, Savings Plans - Compute: EC2, Fargate, Lambda, Lightsail - Containers: ECS - Databases: DynamoDB, ElastiCache, RDS - Governance: CloudWatch, Config, Control Tower, Organizations, Systems Manager - Infrastructure as Code: CDK, CloudFormation, Serverless Framework, Terraform - Migration and Transfer: Database Migration Service, Transfer Family - Networking: API Gateway, CloudFront, Route53, VPC, Transit Gateway, VPN - Programming and Scripting: Python, Node.js, Bash - Security: ACM, Cognito, IAM, KMS, Secrets Manager, Security Hub, IAM Identity Center, WAF - Storage: AWS Backup, EFS, S3, Storage Gateway

Quant Data Engineer | Trading Systems · Derivatives · Real-Time Risk · AI/ML | CME Group · Multibank Group I build production-grade quantitative finance data infrastructure for trading firms, derivatives exchanges, hedge funds, and FX brokers — with ~10 years of hands-on experience at CME Group (world's largest derivatives exchange) and Multibank Group (global multi-asset FX broker). What I deliver for clients: ▸ Real-time trading data pipelines (Kafka, GCP Pub/Sub, Spark Streaming) with sub-second SLAs for live risk and P&L systems ▸ Derivatives and options pricing data feeds — tick, OHLCV, order book snapshots, Greeks feeds — to quant research and trading teams ▸ Market making analytics — bid/ask spreads, fill rates, time-at-best, quoting obligation compliance tracking ▸ Automated regulatory reporting — MiFID II, CFTC, Dodd-Frank — processing millions of daily trade records with full audit lineage ▸ MT4/MT5 trade data ingestion platforms — order lifecycle, execution prices, slippage, swap charges, margin utilisation ▸ Quant research feature engineering pipelines — clean, validated market data for quantitative model development and backtesting ▸ AI/ML platforms for trading teams — RAG pipelines, LLM-powered NL querying over live trading datasets, signal generation ▸ Cloud data platforms — GCP (BigQuery, Dataproc, Pub/Sub), AWS (EMR, S3, Redshift), Azure, Databricks Delta Lake Proven results: ✓ Quant research data platform at CME Group serving 8+ engineering squads across futures, options, FX, and interest rate products ✓ Regulatory reporting latency reduced from hours to minutes — 60% reduction in compliance workload ✓ 40% pipeline throughput improvement and 25% cost reduction at exchange scale ✓ 35% throughput improvement on AUD-billion daily algorithmic trading flows at Commonwealth Bank of Australia Domain: Futures · Options · FX · Derivatives · Market Making · Algorithmic Trading · Real-Time Risk · VaR/CVaR · MiFID II · CFTC · Dodd-Frank · FIX Protocol · MT4/MT5 Stack: Python · Kafka · Spark/PySpark · GCP · AWS · Azure · Databricks · BigQuery · Airflow · Delta Lake · LangChain · RAG · QuantLib Currently pursuing IIM Ahmedabad Advanced Programme in Quantitative Finance and Risk Management (Aug 2026) — deepening expertise in derivatives pricing, Black-Scholes, options Greeks, and quantitative risk management. I take on projects where financial data precision, latency, and regulatory accuracy are non-negotiable. If you need someone who understands both the mathematics behind trading systems and the engineering to build them at production scale — let's talk.

I leverage my innovative problem-solving skills as a co-founder of a data-driven company, specializing in delivering impactful solutions. With over six years of experience in data consulting, my background spans diverse projects that demand creativity and collaboration. I excel in turning complex data challenges into actionable insights that drive business growth. If you need someone who can approach problems from a unique angle and implement strategies that truly resonate, we should connect. Whether it’s enhancing analytics or developing reliable data solutions, I'm ready to bring your vision to life and help your team succeed.

I am a skilled Stack Developer with 10 years of experience in building innovative solutions. My expertise spans full-stack development, AI integration, and IT project management. I recently developed a local conversational AI assistant using Python and advanced LLM models, ensuring secure on-premise operations. I have successfully implemented robust architectures utilizing modern technologies such as LangChain, ChromaDB, and FastAPI, which empower businesses to enhance their operational efficiency. Whether you need a complex backend system or a seamless integration of AI-driven solutions, I bring a strategic mindset, technical proficiency, and a collaborative approach that delivers results. Let's connect and discuss how I can help you turn your ideas into effective solutions.

Software development manager with 15 years working professional in the tech industry, with 13 years at Amazon in both US and India. Overall management experience of 7 years with 4 years of managing managers. Built 3 successful orgs of 20+ engineers ground up and delivered key engineering products in the Retail business. Delivered multiple multi-year cross-organizational projects working in ambiguous environments, navigating and influencing outcomes. Proven record of hiring key senior engineering positions, growing leaders in the organization and managing underperformance. Successively rated Top tier in Annual talent reviews. Currently managing a team of 25 engineers with 3-line managers reporting.

I bring over 22 years of extensive experience in Full Stack development, specializing in sectors like insurance, banking, energy, and finance. My expertise spans Java (versions 8 to 21) and Spring, where I design secure microservices architectures and implement API Gateways with TLS encryption. I've successfully led the migration of legacy systems to modern technology stacks, ensuring smooth performance enhancements through advanced profiling. Additionally, I handle Big Data technologies like Spark and Kafka, and I leverage Python for automation and resilience. I also integrate Generative AI into business processes, enhancing automation and user experience. My proactive and curious approach allows me to tackle complex challenges head-on. If you're seeking a tech lead who combines strategic insight with robust technical skills, let’s discuss how I can contribute to your project.

I am a skilled Big Data Operations Engineer with over 4 years of extensive experience in managing large-scale data pipelines, processing over 40 billion records daily on cloud platforms. My expertise includes working with Kafka, Flink, Spark, and the entire Hadoop ecosystem. I also have a solid year of experience overseeing data center operations with more than 3,000 servers. I excel in automated deployment using Ansible and Docker, ensuring secure and efficient infrastructure. I have a proven history of troubleshooting critical production issues and optimizing resource utilization to maintain zero-downtime operations. If you are looking for someone who can deliver reliable and scalable infrastructure support for your big data projects, I am ready to contribute to your team's success. Let's connect and discuss how I can help drive your data initiatives forward.