Hire the Best Data Engineers
in Nepal

Do you need someone to build data processes and applications for driving your business forward? What I can do? - Process your raw data and present it in a meaningful way - this could be either be output from a machine learning pipeline or BI dashboard or intermediate table for you to work with. - Migrate your data in your desired output following data security protocols and optimization techniques. - Architect your data flow and it’s processing as per your business needs. - Create new channels to update your existing systems with insights and KPIs derived from BI Projects. - Suggest the best course of action for your data processes moving forward - Suggest new possible revenue sources or cost reductions. - Document your existing system or that is developed by me translating technical concepts into understandable terms for non-technical stakeholders translating technical concepts. I feel comfortable with most modern tech stack but following are the technologies I have used in the past for various projects: LANGUAGE: Python, C, C++, Java, R, SQL LIBRARIES: Pyspark, Kafka, Pandas, Numpy WEB DEV: Django, Flask, Bootstrap, APIs, Authentication, FastAPI ETL: AWS Glue, DMS, SCT, Talend, AirByte, MuleSoft, Airflow, DBT, MS SSIS DATAWAREHOUSE: Snowflake, AWS Redshift, Google BigQuery, Azure Synapse, Teradata, Databricks BI & ANALYTICS: Plotly-Dash, Streamlit, PowerBI, Tableau, Qlik, Data Studio, Quicksight DATABASE: Amazon RDS, Postgres, MSSQLServer, MYSQL, SQLITE, MongoDB, DynamoDB, Aurora, Cassandra, Stored Procedures CLOUD: AWS, AZURE, GCP, VPC, IAM VERSION CONTROL: GIT, GitHub, Bit Bucket, AWS CodeCommit SCRAPPING: Selenium, Beautiful Soup PROJECT MANAGEMENT: Jira, Redmine CONTAINER: Docker CRM SAAS: Hubspot, GoHighLevel, Salesforce Support Platforms: Zendesk, Intercom Want to discuss about your project? Please drop me a message. Thank you so much for considering my profile. Sincerely, ShusantS

Hi, I’m a Senior Data Engineer with 8+ years of experience I design, build, and optimize reliable, scalable data pipelines that power analytics, reporting, and business decision-making. I work with modern data stacks like Databricks, Delta Lake, Snowflake, SQL, and Python, and I bring a strong data-quality mindset so pipelines don’t just run — they produce trusted data. 🔹 What I Do as a Data Engineer ✅ End-to-End ETL / ELT Pipeline Development – Source → Bronze → Silver → Gold (Medallion Architecture) – Batch & incremental data loads – Schema evolution handling ✅ Incremental Loads, CDC & SCD (Type 1 & Type 2) – MERGE-based upserts – History tracking & effective dating – Late-arriving data handling ✅ Databricks & Delta Lake Engineering – Optimized Spark jobs (partitioning, caching, Z-ORDER) – Delta Lake ACID transactions – Performance tuning for large datasets ✅ Snowflake Data Engineering – Efficient table design – Query & storage optimization – ETL integration & analytics readiness 🔹 Data Quality Built In (Not Bolted On) Unlike many engineers, I validate data as part of the pipeline, not as an afterthought: Row-level reconciliation Null & duplicate checks Schema drift detection Dev → Stage → Prod consistency This means fewer production issues and more reliable dashboards. 🔹 Tech Stack • SQL (advanced, performance-tuned) • Python, PySpark • Databricks, Delta Lake • Snowflake • ETL / ELT frameworks • Medallion Architecture • Data Warehousing concepts 🔹 How I Work ✔ Clean, maintainable code ✔ Clear documentation ✔ Production-ready pipelines ✔ Ownership mindset

I’m a Senior Data Engineer and Python Developer with 9+ years of experience designing and building robust, scalable data pipelines and backend services that transform raw data into actionable insights. My work helps clients streamline their data workflows, enable data-driven decision-making, and optimize business processes. I specialize in eCommerce and advertising data, including integrations with Amazon Ads API (Sponsored Products & Sponsored Brands) for campaign performance tracking, attribution modeling, and bid optimization. I also handle multi-source data ingestion from APIs, CSV/JSON/XML files, web scraping, and OCR pipelines. My services include: ✅ Designing and developing ETL/ELT pipelines for large-scale, multi-source data ✅ Building custom Python scripts for data processing, automation, and analytics ✅ Creating backend services and APIs using Flask for data-driven applications ✅ Rapid prototyping and Streamlit apps for internal tools and dashboards ✅ Deploying containerized applications with Docker for consistent environments ✅ Orchestrating workflows with Apache Airflow/Prefect ✅ Leveraging AWS services including S3, Lambda, Kinesis, Redshift, and RDS ✅ Integrating Amazon Ads API and building marketing analytics pipelines With me, you will: ★ Gain confidence in your data solutions ★ Move past roadblocks and start implementing scalable systems ★ Turn raw data into analytics-ready, actionable insights ★ Leverage my expertise in Python, ETL, AWS, and AdTech to grow your business My tech stack: Python, SQL, Flask, PostgreSQL, MySQL, NoSQL, Apache Airflow, Prefect, Docker, AWS, Amazon Ads API, Streamlit, Plotly, HuggingFace, OCR, Web Scraping Let’s collaborate to turn your data into a strategic advantage. I guide you from concept to production, ensuring high-quality, reliable solutions every step of the way.

I'm a Senior Big Data and AI Engineer who builds production data platforms at petabyte scale and agentic AI systems that operate autonomously in production. Over the past nine years, I've worked across AWS, GCP, and Azure, delivering 50% faster pipelines, 40% cost reductions, and measurable automation of analytics workflows through LangGraph, Google ADK, and Databricks. On Upwork that translates into 21 completed contracts with near-perfect 5-star ratings and repeat enterprise clients — from quick, high-stakes database fixes to 100+ hour platform engagements. I take full ownership: architecture, cloud infrastructure, and delivery. WHAT CLIENTS HIRE ME FOR • Databases & DBA (deep specialty) — PostgreSQL, Citus, TimescaleDB, ClickHouse, and Trino: cluster design, replication and high availability, performance tuning, and migrations with zero data loss (RDS-to-Citus, 500GB+ PostgreSQL, ClickHouse shard/replication design). This is where my reviews are densest: - "His knowledge of ClickHouse Cluster is truly exceptional. He designed it exactly as needed." - "A game-changer — his analysis identified cost-saving opportunities and improved our solution architecture." (AWS database review) - "Super helpful even though it was new technology that's hard to find talent for." (pgvector on RDS Postgres) - "Did a fantastic job improving the database speed and migration." (500GB PostgreSQL migration) • Big-Data Platforms & Pipelines — Apache Spark, Trino, Apache Iceberg/Delta Lake, and Airflow + dbt on Kubernetes. I design petabyte-scale batch and streaming pipelines with the governance, lineage, observability, and SLOs production demands — typically 50% faster processing, 40% lower cost, and 99.9% uptime. • Production GenAI & Autonomous Agents — agentic systems on Google-ADK, LangChain, LangGraph, CrewAI, and MCP, plus RAG pipelines on Milvus, pgvector, and Pinecone. I ship them with real tracing and observability (LangFuse, Opik, MLflow) and guardrails — systems that run reliably, not demos. RECENT WORK • ClickHomes AI — a live real-estate analytics and lead-generation platform I architected end to end: a dual database (ClickHouse OLAP + PostgreSQL OLTP), a RESO-compliant ETL pipeline ingesting 9,500+ MLS listings with schema validation and lineage, a LangGraph ReAct AI search agent with streaming responses, multi-factor lead scoring, and Celery-powered email drip campaigns — deployed on Docker/Nginx and live in production. • TARA @ UXCam — an autonomous multi-agent analytics platform (Google-ADK + MCP) across 500+ mobile apps that cut analytics delivery time by 60% and manual effort by 75%, with RAG over 1M+ videos a month and full agent observability, governing 10TB+ of data per day on Databricks + Unity Catalog. HOW I WORK I design the architecture, stand up the cloud infrastructure, and deliver production-ready code — then make it observable, reliable, and cost-efficient. I communicate clearly and proactively across time zones, and I'm direct about trade-offs and timelines. TECH STACK Databases: PostgreSQL, Citus, TimescaleDB, ClickHouse, MySQL, MongoDB, Redis. Data: Apache Spark, Trino, Apache Iceberg, Delta Lake, Airflow, dbt, Kafka, Kinesis. AI/GenAI: Google-ADK, LangChain, LangGraph, CrewAI, AutoGen, MCP, RAG, Milvus, pgvector, Pinecone, Weaviate, MLflow, LangFuse, Opik. Cloud & DevOps: AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD, Prometheus, Grafana. Languages: Python, SQL, FastAPI, Next.js. Education: B.Tech in Computer Science. If you're building or scaling a data platform, fixing a database bottleneck, or putting an AI agent into production, send me a short brief — I'll reply with a concrete plan, a timeline, and the trade-offs that matter.

I'm a Top-Rated AI Engineer specializing in enterprise-grade AI solutions, multi-agent systems, scalable backend architecture and data engineering solution. With 1+ years of focused AI development experience and a proven track record at multinational companies, I transform complex business requirements into intelligent, production-ready applications that drive measurable results. Core Specializations: Agentic AI & Multi-Agent Systems Expert in building cutting-edge agentic applications using LangGraph, CrewAI, and Model Context Protocol (MCP). I develop custom multi-agent architectures tailored to specific business use cases, enabling intelligent automation and decision-making systems. Advanced RAG Applications Built 10+ highly secured production RAG systems with self-RAG and adaptive architectures. Specialized in implementing evaluation frameworks and optimizing retrieval accuracy for enterprise-scale applications across multiple industries. LLM Fine-tuning & Cost Optimization Proven expertise in instruction fine-tuning (GPT-4o mini), custom model training, and cost-effective model replacement strategies. Successfully reduced client AI costs by up to 40% while maintaining performance through strategic open-source model implementation. Enterprise Backend Development Master-level proficiency in Python (FastAPI), database design with Alembic versioning, and cloud deployment with AWS. Built scalable systems handling enterprise-level workloads with robust CI/CD pipelines. Technical Arsenal: AI/ML Frameworks: LangChain, Langgraph, Ollama, VLLM, Vector Databases: Qdrant, FAISS, ChromaDB Data Processing: PDF, DOCX, PPTX, Excel, images (OCR), web scraping Models: OpenAI, Claude, Gemini, fine-tuned open-source models MLOps: Docker, CI/CD pipelines, Airflow, model versioning, evaluation frameworks Computer Vision & NLP: Custom model training, Stable Diffusion, OCR optimization Backend: PostgreSQL, MySQL, MongoDB, database versioning with Alembic Cloud & DevOps: AWS, containerization, Scalable deployment Big Data Processing: Apache spark, pyspark, Airflow, Databricks, SQL, DBT Reinforcement Learning: Stable Baselines, Gymnasium Time series prediction: SARIMA, ARIMA, FBProphet 🧠 Why Choose Me: Proven Excellence: Top-rated freelancer with enterprise-level project experience and multinational company background and startup companies Innovation-Driven: Stay ahead of AI trends, implementing cutting-edge technologies like MCP, adaptive RAG, and latest LLM advancements daily Cost-Conscious Solutions: Specialize in building high-performance AI systems that optimize costs without compromising quality Full-Stack Capability: While AI/ML focused, I possess deployment skills and can deliver complete end-to-end solutions Exceptional Collaboration: High availability, flexible timing, proficient with GitHub/GitLab workflows, and always eager to explore new technologies Quality Standards: Write production-grade code, implement proper testing frameworks, and follow industry best practices for maintainable and scalable solution. What I can help you build Production-ready MVPs using LLMs, RAG pipelines, and AI agents from idea to deployment Research-driven AI solutions for new products, including model selection, evaluation, and experimentation Custom AI agents (coding, research, content, automation) using modern agent frameworks Fine-tuned open-source LLMs (SFT / RLHF / RLVR) hosted privately or on-prem Scalable backends & APIs (FastAPI) to integrate AI into real systems Keywords: AI agent, AI developer, Chatbots, AI Automation, Langchain, Langraph, n8n, VAPI, Retell AI, GHL, make,

Forward-thinking and inquisitive Software Engineer with a background working productively in dynamic environments. Proactively, learning things at macro beyond code, focusing on the bigger picture, business value, and outcomes. 6+ years of professional experience in (ETL data pipeline, Microservices, Event Driven Architecture, Big Data, API, and Backend Development). Built end-to-end data processing system that processed over 1 billion records per day, utilizing multiple data engineering tools and streaming frameworks. Skills: Languages: Python, Java, NodeJS, PHP, SQL Data Engineering - Data Extraction, Streaming & Processing: Scrapy, Complex Data Scraping, Apache Flink, Apache Spark, AWS Kinesis, Apache Kafka, RabbitMQ, Fluentd - Data Standardization & Analytics: Microsoft Fabric Database: MySQL, PostgreSQL, MongoDB, InfluxDB Analytics Search Engines: Typesense, ElasticSearch, Algolia Other: AWS, EFK stack, Docker, Web Data Scraping, AWS S3, Event Driven Systems, Data pipelines, Vector Search, Proxy Server When I’m not working, you can find me watching or playing football, writing blogs, traveling, cycling, or researching open-source projects.