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Hi, I’m Raja Sharma. I’m a data engineer focused on AWS and GCP, with 8+ years of experience building and optimizing data pipelines across cloud and on-prem environments. I blend Python, SQL, and big-data frameworks to design scalable, reliable data platforms that power analytics and decision-making. I enjoy collaborating with cross-functional teams to automate ETL, improve data quality, and deliver near real-time dashboards. I’m passionate about clean architecture, scalable pipelines, and continuous improvement, and I love turning complex data challenges into tangible business outcomes.…Hi, I’m Raja Sharma. I’m a data engineer focused on AWS and GCP, with 8+ years of experience building and optimizing data pipelines across cloud and on-prem environments. I blend Python, SQL, and big-data frameworks to design scalable, reliable data platforms that power analytics and decision-making. I enjoy collaborating with cross-functional teams to automate ETL, improve data quality, and deliver near real-time dashboards. I’m passionate about clean architecture, scalable pipelines, and continuous improvement, and I love turning complex data challenges into tangible business outcomes.

Raja Sharma

Full Stack Developer, Developer, Web Developer, +6

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Hi, I’m Raja Sharma. I’m a data engineer focused on AWS and GCP, with 8+ years of experience building and optimizing data pipelines across cloud and on-prem environments. I blend Python, SQL, and big-data frameworks to design scalable, reliable data platforms that power analytics and decision-making. I enjoy collaborating with cross-functional teams to automate ETL, improve data quality, and deliver near real-time dashboards. I’m passionate about clean architecture, scalable pipelines, and continuous improvement, and I love turning complex data challenges into tangible business outcomes.…Hi, I’m Raja Sharma. I’m a data engineer focused on AWS and GCP, with 8+ years of experience building and optimizing data pipelines across cloud and on-prem environments. I blend Python, SQL, and big-data frameworks to design scalable, reliable data platforms that power analytics and decision-making. I enjoy collaborating with cross-functional teams to automate ETL, improve data quality, and deliver near real-time dashboards. I’m passionate about clean architecture, scalable pipelines, and continuous improvement, and I love turning complex data challenges into tangible business outcomes.

Available to hire

Hi, I’m Raja Sharma. I’m a data engineer focused on AWS and GCP, with 8+ years of experience building and optimizing data pipelines across cloud and on-prem environments. I blend Python, SQL, and big-data frameworks to design scalable, reliable data platforms that power analytics and decision-making.

I enjoy collaborating with cross-functional teams to automate ETL, improve data quality, and deliver near real-time dashboards. I’m passionate about clean architecture, scalable pipelines, and continuous improvement, and I love turning complex data challenges into tangible business outcomes.

Skills

Experience Level

Expert

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Intermediate

Jira

Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer at Bottomcode

February 1, 2023 - Present

At Bottomcode, I worked on building secure, scalable, and AI-powered web applications with a strong focus on backend development, cloud infrastructure, and automation. Key accomplishments include integrating Bitdefender for automated antivirus scanning and enforcing system-wide security policies, designing and developing RESTful APIs with Django Rest Framework, integrating Apple authentication and GraphQL APIs, building web scraping pipelines extracting data from 80+ websites, developing AI tools for automation of NIC and ISO documentation, creating generative AI image processing tools using FastAPI and AWS Lambda, managing AWS cloud infrastructure with Terraform and CodePipeline, and implementing document retrieval systems using LangChain, RAG, and Haystack.

Full Stack Developer at Hightbit Technologies

January 31, 2023 - August 8, 2025

At Hightbit Technologies, I worked on building high-performance AI-based software and data-driven applications focused on healthcare, analytics, and frontend optimization. I developed AI-powered solutions that improved system performance and reduced latency by 30%, built scalable healthcare applications improving patient outcomes, implemented ELK stack for logging and monitoring, built advanced analytics pipelines using Google BigQuery, GA4, and Looker Studio delivering real-time insights for ~20,000 daily users. Additionally, I created reusable React.js components, integrated Stripe for secure payment processing, collaborated with Agile teams, participated in code reviews, and documented technical solutions and data workflows.

Senior Software Engineer at Bottomcode

February 1, 2023 - Present

At Bottomcode, I build secure, scalable, and AI-powered web applications focusing on backend development, cloud infrastructure, and automation. I integrated Bitdefender for automated antivirus scanning and system security, designed RESTful APIs using Django Rest Framework with custom dashboards and role-based access control, and integrated Apple authentication and GraphQL APIs. I built web scraping pipelines extracting data from 80+ websites validated with NumPy and Pandas. Developed AI tools for automating NIC and ISO documentation to enhance compliance accuracy. Contributed to microservices development in Go and created generative AI image processing tools using FastAPI, AWS Lambda, and Stable Diffusion. Managed AWS infrastructure and CI/CD pipelines with Terraform and AWS CodePipeline. Implemented document retrieval using LangChain, RAG, and Haystack with OpenAI and Ollama to enable context-aware ISO document generation.

Full Stack Developer at Hightbit Technologies

January 31, 2023 - August 19, 2025

At Hightbit Technologies, I contributed to AI-based software and data-driven applications, focusing on healthcare, analytics, and frontend optimization. Developed AI-powered solutions that boosted system performance and reduced latency by 30%. Built scalable healthcare applications improving operational efficiency and patient outcomes. Implemented logging and monitoring with the ELK stack for secure deployment. Created advanced analytics pipelines using Google BigQuery, GA4 Analytics, and Looker Studio for ~20,000 daily users. Developed optimized React.js components, managed data with Context API, and integrated Stripe for secure payments. Coordinated Agile cross-functional teams to align technical and business goals, participated in code reviews to improve code quality, and documented workflows to aid onboarding.

Senior Full Stack Engineer

January 1, 2023 - Present

Current role focusing on AI-driven development and scalable architecture. Leads end-to-end development with Python (Django/Flask/FastAPI), React, and AWS. Designs REST/GraphQL APIs, WebSocket communication, and OAuth/JWT authentication. Builds AI-assisted automation for document generation and data extraction; creates data pipelines and 80+ website scraping workflows using Scrapy, Selenium, Django, and Airflow. Implements CI/CD pipelines with Terraform and AWS, Docker-based containerization, and Kubernetes orchestration. Delivers secure cloud-native deployments with role-based access, dashboards, and real-time monitoring; maintains uptime targets and integrates third-party services for payments and location tracking.

Data Engineer at Global leader in recreational scuba diving education

August 1, 2022 - Present

Led two engineers; improved on-time delivery by 30% through agile sprint planning. Automated Salesforce backups with AWS Glue, Redshift, and Python, eliminating 80% manual effort and guaranteeing audit-ready retention. Migrated heavy SQL Server procedures to Lambda, Redshift, and S3, cutting run times by 90% and lowering infra spend by 25%. Built cross-cloud pipelines on Google Cloud Dataflow and BigQuery (Pub/Sub for real-time loads); reduced job latency by 30% and enabled near real-time marketing dashboards. Added Dataproc-based Spark data-quality checks; manual validation dropped 70% and accuracy rose 20%. Delivered a self-serve ETL framework (Step Functions + Athena) that halved Tableau analysts’ wait time.

Data Engineer at Wells Fargo Bank

May 1, 2018 - October 25, 2025

A diversified financial services company providing banking, investment, mortgage, and consumer and commercial finance. Improved data load performance in SSIS by 60% through incremental load strategies, eliminating resource-heavy full loads. Developed Python scripts for API integrations, reducing manual data retrieval by 85% and ensuring near real-time data updates. Collaborated with the Data Management team to introduce standardized coding practices, streamlined version control, and agile methodologies. Built scalable data solutions using Snowflake, Airflow, and Hadoop to accommodate diverse data ingestion across data sources; implemented Snowflake materialized views and external table integrations to resolve performance and scalability challenges. Reduced query latency for complex analytics and enabled near-real-time dashboards; contributed to cross-cloud data flows with Dataflow and BigQuery for analytics.

Senior Full Stack Developer at Bottom Code

January 1, 2023 - October 25, 2025

Led end-to-end development of scalable web applications using Python, Django, React, and AWS. Implemented CI/CD pipelines with Terraform and AWS CodePipeline, accelerating deployments and enabling rapid iteration. Optimized system architecture and microservices to reduce latency by 30% in health-care applications; designed AI-powered features and secure APIs using Django REST Framework and GraphQL (via Graphene). Built AI-driven document generation and integrated real-time analytics dashboards using BigQuery and Looker Studio, delivering actionable insights to stakeholders. Built data pipelines and automated data extraction across 80+ websites with Scrapy, Selenium, Django, and Apache Airflow, coupled with Pandas/Numpy for rigorous validation. Deployed containerized services with Docker and orchestrated via Kubernetes on AWS, ensuring high availability and scalable performance. Collaborated with cross-functional teams to align technical outcomes with business goals, established robust