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Full Stack Java Development | Python Backend | ETL Pipelines | SQL Optimization | Hadoop | Spark | Snowflake | dbt | Enterprise Systems I’m a 𝗨𝗦‑𝗯𝗮𝘀𝗲𝗱 𝗦𝗲𝗻𝗶𝗼𝗿 𝗝𝗮𝘃𝗮 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 𝟵+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 building and scaling enterprise systems for Fortune 500 companies, including 𝗝𝗣𝗠𝗼𝗿𝗴𝗮𝗻 𝗖𝗵𝗮𝘀𝗲, 𝗙𝗼𝗿𝗱 𝗠𝗼𝘁𝗼𝗿 𝗖𝗼𝗺𝗽𝗮𝗻𝘆, 𝗮𝗻𝗱 𝗝𝗲𝘁𝗕𝗹𝘂𝗲. My work focuses on backend engineering, distributed data pipelines, and modernizing systems that need to perform reliably under real production load. I’ve spent my career designing backend architectures that stay fast, stable, and cost‑efficient as they grow. Whether it’s a Java microservice that needs to scale, a Python backend that needs to be production‑ready, or a data pipeline that has to process millions of records without breaking, this is the work I do every day. 𝗛𝗼𝘄 𝗜 𝗛𝗲𝗹𝗽 𝗧𝗲𝗮𝗺𝘀: 𝗝𝗮𝘃𝗮 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀: If your backend is slow, fragile, or stuck inside a monolith, I fix that. I work with Spring Boot, Spring MVC, Spring Security, JWT authentication, GraphQL, and microservices. I modernize legacy Java codebases, break apart monoliths, and build APIs that stay reliable when traffic spikes. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗮𝗻𝗱 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: I build Python services using FastAPI, SQLAlchemy, asyncio, and Pydantic. I’ve delivered async microservices, automation workflows, and data processing jobs used in production at Ford and JetBlue. 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: I design and deploy production environments on GCP, AWS, and Azure. I’ve built systems using Cloud Run, Pub/Sub, Dataflow, BigQuery, GKE, Lambda, S3, Redshift, Glue, and EKS. I use Terraform for infrastructure as code and set up CI/CD pipelines for clean deployments. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: If your pipelines are brittle, slow, or producing outdated data, I rebuild them. I work with Apache Beam, Spark, Airflow, Kafka, dbt, Snowflake, and BigQuery. At Ford, I replaced a six‑hour Hadoop batch job with a Dataflow streaming pipeline that finished in under ten minutes. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: I tune SQL queries, redesign schemas, and optimize databases at scale. I’ve worked with PostgreSQL, SQL Server, MongoDB, MySQL, Redshift, Snowflake, and BigQuery. 𝗟𝗲𝗴𝗮𝗰𝘆 𝗦𝘆𝘀𝘁𝗲𝗺 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: I migrate old systems without disrupting what already works. I’ve moved slow stored procedures into Spark and Hive, improving execution time across distributed file systems. 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: I build reliable integrations with third‑party APIs, handling authentication, pagination, rate limits, retries, and logging. I’ve worked with payment gateways, SaaS platforms, IoT systems, and enterprise data sources. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Java (8, 11, 17), Python, Spring Boot, Spring Security, Microservices, REST APIs, GraphQL, Swagger/OpenAPI 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Spark, Hadoop, Beam, Hive, Airflow, Spring Batch, Data Ingestion Pipelines 𝗖𝗹𝗼𝘂𝗱: GCP (Cloud Run, BigQuery, GKE), AWS (Lambda, S3, Redshift, EKS), Azure 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, SQL Server, MongoDB, MySQL, Redis, Snowflake 𝗗𝗲𝘃𝗢𝗽𝘀: Terraform, Kubernetes, Docker, CI/CD (GitHub Actions, Jenkins, Tekton) 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Grafana, Splunk, Cloud Monitoring The Right Fit: I work best with teams that need a senior engineer who can take ownership of complex backend or data engineering problems. If you’re building on GCP, AWS, or Azure and need someone who has worked in those environments at scale, I can help. I communicate clearly, deliver on time, and bring the same standards I used at Ford and JPMorgan. 𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝘆𝗼𝘂𝗿 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗼𝗿 𝗯𝘂𝗶𝗹𝗱 𝗮 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲, 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗰𝗹𝗶𝗰𝗸 “𝗜𝗻𝘃𝗶𝘁𝗲 𝘁𝗼 𝗝𝗼𝗯” 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱. Spring Boot, Java Backend, SaaS Development, REST API, Microservices, AWS, Scalable Applications, SaaS Architecture, Platform Engineering, Distributed Systems, Event-Driven Architecture, Cloud-Native Development, Enterprise APIs, Multi-Tenant SaaS, AI Integrations, Kubernetes, Docker, Kafka, DevOps, System Design, Scalable Infrastructure, High Availability Systems, Fintech, Healthcare Platforms, Booking Engines, Real-Time System, Senior Data Engineer, Backend Engineer, Data Platform Engineer, Data Pipeline Development, ETL Development, ELT, Data Architecture, Data Engineering, Data Warehousing, Analytics Engineering, Big Data, Data Integration, Data Modeling, Database Design, Database Management, PostgreSQL, MySQL, MongoDB, Redis, SQL, Python, Node.js, TypeSc

I am a Senior Big Data & Backend Developer with 8 years of professional experience in building and maintaining scalable, high-performance data pipelines and enterprise-grade backend systems. My expertise spans Java, Scala, Python, and Spring Boot, along with modern cloud platforms and big data technologies, enabling businesses to transform raw data into actionable insights. I have successfully delivered projects for global media, telecom, marketing, and e-commerce companies, including: • Building end-to-end ETL pipelines, real-time streaming applications, and analytics platforms. • Optimizing Apache Spark jobs, managing Databricks and AWS environments, and reducing costs while improving performance. • Integrating applications with Apache Kafka, Kinesis, and other streaming services for real-time data processing. • Designing and implementing enterprise backend systems with Java, Spring Boot, REST APIs, and microservices architecture. • Working with SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra, TigerGraph, and BigTable. • Implementing monitoring, logging, and alerting frameworks using DataDog, CloudWatch, and custom dashboards. I am passionate about delivering robust, scalable, and secure solutions, collaborating with cross-functional teams, and leveraging best practices in software lifecycle management, DevOps, and agile methodologies.

ABOUT ME: I am Lead Data Engineer with strong software development background. I have over 10 years of professional experience in IT, 7 years of which in Data Engineering. I have MS in Software Engineering from DePaul University (Chicago, IL USA) WHAT I CAN DO FOR YOU: Having worked as a Lead Data Engineer in Fortune 500 big enterprises, I can help startups with with *developing comprehensive data governance and security strategies, *designing and implementing cloud data platforms (Azure, AWS, Databricks) * data warehouse modelling * data lake/data lakehouse modelling *cost optimization of data and ML pipelines *performance optimization of data and ML pipelines TECHNICAL SKILLS Python| Java| Scala| PySpark| Apache Spark| Apache Airflow| Databricks| AWS| Azure| AWS EMR| AWS GLUE | Azure Datafactory | Azure Synapse