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Data Engineering | Cloud Architecture (AWS/GCP/Azure) | ETL Pipelines | Java | Python | Spring Boot | SQL Performance Tuning | Apache Hadoop & Spark | Snowflake | dbt | Enterprise Backend Systems I am a US-based Senior Backend and Data Engineer Cloud Technology Professional with over 8 years of enterprise-level experience building high-performance systems for Fortune 500 companies, including JPMorgan Chase and Ford Motor Company. I specialize in designing scalable backend microservices, optimizing slow databases, and architecting heavy big data pipelines that process millions of records without downtime. I don't just write code, I architect & build systems that process millions of records, reduce company costs, and stay alive at scale. ⚙️ WHAT I BUILD FOR YOU ✅ End-to-End Application Development: React-powered frontends paired with scalable Spring Boot microservices, secure REST APIs, JWT authentication, and GraphQL integration. Built complete user experiences, from UI to backend infrastructure for JPMorgan Chase's credit card banking team. If your product can't afford downtime, that's exactly the kind of work I do. ✅Database Design and Modeling: I am proficient in conceptualizing and creating database architectures that align with business objectives. I have successfully designed and implemented robust relational database models, ensuring data integrity and efficient query performance. ✅ ETL Processes: Skilled in designing and implementing ETL (Extract, Transform, Load) processes for seamless data integration across diverse systems. This includes expertise in tools such as SSIS and Talend. ✅Performance Optimization: Proven track record in identifying and resolving performance bottlenecks. I have implemented various optimization strategies, resulting in enhanced system efficiency and reduced query response times. ✅ Legacy System Modernization: Migrated slow stored procedures to Apache Spark + Apache Hive at JPMorgan, dramatically improving execution time across distributed file systems. If your system is aging and expensive, I know exactly how to modernize it without breaking what works. 🏢 WHERE I'VE DONE THIS WORK 🔹 Ford Motor Company 🔹 JPMorgan Chase 🔹 Elsevier 🛠️ TECHNICAL EXPERTISE & CORE SKILLS ✅Backend Development: Java (8, 11, 17), Spring Boot, Spring Security, JWT Authentication, Microservices Architecture, RESTful APIs, GraphQL, Apigee, Swagger/OpenAPI. ✅Data Engineering & ETL: Apache Spark, Apache Hadoop, Apache Beam, Apache Hive, Spring Batch, Apache Airflow, Spring Cloud Dataflow, Data Ingestion Pipelines. ✅Cloud & Infrastructure: Google Cloud Platform (GCP) [Cloud Run, Cloud Functions, BigQuery, GKE], Amazon Web Services (AWS) [Lambda, S3, Redshift, EKS], Microsoft Azure. ✅Databases & Caching: PostgreSQL, SQL Server, MongoDB, MySQL, Redis Caching, SQL Performance Tuning, Schema Design, Data Warehousing. ✅DevOps & Automation: Terraform (Infrastructure as Code), Kubernetes, Docker, CI/CD Pipelines (GitHub Actions, Jenkins, Tekton), Control-M Schedules. ✅Testing & Monitoring: JUnit, Mockito, MockMVC, Multi-threading, Grafana, Splunk, GCP Cloud Monitoring, Webex Alerting, Legacy System Cloud Migration. 💬 𝗧𝗛𝗘 𝗣𝗘𝗥𝗙𝗘𝗖𝗧 𝗙𝗜𝗧 I work best with teams and companies who: → Need a senior engineer, not someone who needs hand-holding → Have complex backend or data engineering problems that require real architectural thinking → Are building on GCP, AZURE or AWS and need someone who has lived in those environments → Want their data pipelines, APIs, or microservices built right the first time I communicate clearly, deliver on time, and treat your project with the same standards I held at Ford and JPMorgan. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐨𝐩𝐭𝐢𝐦𝗶𝘇𝗲 𝐲𝐨𝐮𝐫 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐨𝐫 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞? 𝐒𝐞𝐧𝐝 𝐦𝐞 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐨𝐫 𝐜𝐥𝐢𝐜𝐤 '𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛' 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭. 𝐓𝐡𝐚𝐧𝐤𝐬, 𝐇𝐚𝐦𝐳𝐚 𝐊𝐡𝐚𝐧 ADDITIONAL TECHNICAL PROFICIENCIES Java 17, Java 11, Java 8, SQL,Javascript, Spring Boot, Spring Cloud Dataflow, Spring Security, Snowflake, dbt, Python, DevOps, Spring Batch, Apache Beam, Apache Spark, Apache Airflow, AWS Glue, GCP Dataflow, Apache Hive, Google Cloud Platform, GCP Pub/Sub, Loud Solution Architect, Google Kubernetes Engine, BigQuery, Amazon Web Services, AWS Lambda, Amazon S3, Amazon Redshift, Azure, PostgreSQL, SQL Server, MongoDB, MySQL, Terraform, GitHub Actions, Jenkins, GCP Cloud Monitoring, Webex Alerting, JUnit, Mockito, MockMVC, Java Stream API, Python, Apache Kafka, Kubernetes, Data Engineering, Database Architecture, Data Integration, ETL Pipeline, Data Migration, Database Design, Query Tuning, Teradata, Pentaho, Talend Open Studio, Apache Hadoop, Data Engineering Languages, R, Data Warehousing & ETL Software, Google Analytics, Cloud Migration, IBM DataStage, API Integration, Google Dataflow, G-Cloud, Node.js, Consultation, API,

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.

🏆 Achieved Top-Rated Freelancer status (Top 10%) with a proven track record of success. Past experience: Twitter, Spotify, & PwC. I am a certified data engineer & software developer with 5+ years of experience. I am familiar with almost all major tech stacks on data science/engineering and app development. If you require support in your projects, please do get in touch. Programming Languages: Python | Java | Scala | C++ | Rust | SQL | Bash Big Data: Airflow | Hadoop | MapReduce | Hive | Spark | Iceberg | Presto | Trino | Scio | Databricks Cloud: GCP | AWS | Azure | Cloudera Backend: Spring Boot | FastAPI | Flask AI/ML: Pytorch | ChatGPT | Kubeflow | Onnx | Spacy | Vertex AI Streaming: Apache Beam | Apache Flink | Apache Kafka | Spark Streaming SQL Databases: MSSQL | Postgres | MySql | BigQuery | Snowflake | Redshift | Teradata NoSQL Databases: Bigtable | Cassandra | HBase | MongoDB | Elasticsearch Devops: Terraform | Docker | Git | Kubernetes | Linux | Github Actions | Jenkins | Gitlab

I am a certified AWS Solutions Architect & Developer with hands-on experience in cloud-based data engineering, big data technologies, and data analytics. I specialize in building scalable data pipelines, optimizing data storage, and transforming raw data into actionable insights. Skills & Expertise: * Cloud Computing (AWS Certified) – Expertise in AWS services like S3, EMR, Glue, Lambda, RDS, Athena, and DynamoDB. * Big Data & ETL Processing – Experience in building and automating data pipelines using PySpark, Apache Airflow, and AWS Glue. * Web Scraping: Experienced in extracting and processing data from public websites using BeautifulSoup and Scrapy, enabling automated data collection for analytics and business insights. * Snowflake Data Warehousing – Designing efficient cloud-based data solutions and optimizing data flows. * Python (PCEP Certified) & SQL – Strong skills in data processing, automation, and analytics. * Power BI & Data Visualization – Creating interactive dashboards and reports for data-driven decision-making. * HackerRank Gold Badge in Python – Proven ability to write clean, optimized, and scalable code.

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