Mayuraksha Sikdar

Data Engineer

Dublin, County Dublin, Ireland5 yrs 8 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in designing scalable ETL pipelines.
Proficient in cloud migration and architecture.
Skilled in LLM-powered application development.

Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions and Generative AI applications.

Contact

Skills

Core Skills

Cloud Data EngineeringEtl Pipeline DesignGenerative Ai & Llm IntegrationCloud Migration & ArchitectureApi Development

Other Skills

Apache SparkAmazon RedshiftAmazon S3Amazon Web Services (AWS)Analytical SkillsAttention to DetailBig DataBig Data AnalyticsBusiness EnglishCloud InfrastructureCloud SecurityCommunicationComputer ScienceCorporate CommunicationsCritical Thinking

About

Data Engineer with 5 years of professional experience specialising in cloud data pipelines, ETL optimisation, and LLM-powered application development. Proficient in Python, AWS/GCP/Azure, and modern DevOps tools. Adept at designing and deploying LLM-powered apps using LangChain, Hugging Face, and OpenAI. Skilled in designing scalable ETL pipelines, optimising big data workflows, API development, building event-driven architectures, and leveraging Generative AI models to optimise operations. Python Development | Cloud Data Engineering (AWS/GCP) | Generative AI & LLM Integration | ETL/ELT Pipeline Design | AWS Cloud Services | DevOps & CI/CD | Big Data Technologies | Cloud Migration & Architecture | Data Modelling & Databases | API Development & Integration

Experience

5 yrs 8 mos

Total Experience

3 yrs 2 mos

Average Tenure

5 mos

Current Experience

Jpmorganchase

Senior Data Engineer - Assistant Vice President

Dec 2025 – Present · 5 mos · Dublin, County Dublin, Ireland · On-site

Senior Data Engineer for a $2.3B+ platform, processing ~16TB of streaming data daily at scale.
Designed, developed, and maintained high-throughput data pipelines using AWS, Databricks, Apache Kafka, and streaming graph databases.
Partnered with data scientists, analysts, and business stakeholders to translate data requirements into production-ready solutions.
Implemented robust data integration and transformation workflows, ensuring data quality, consistency, and reliability.
Optimised data storage and query performance, enabling faster analytics and cost-efficient processing.
Proactively monitored, troubleshot, and tuned pipelines to maintain high availability and performance SLAs.
Evaluated and adopted modern data engineering tools and best practices to continuously improve platform scalability.
Authored and maintained technical documentation covering data architectures, workflows, and operational standards.

Apache SparkAmazon RedshiftAmazon S3Amazon Web Services (AWS)Analytical SkillsAttention to Detail+36

Accenture

4 roles

Prompt Engineer

Sep 2023 – Dec 2023 · 3 mos · Hybrid

Worked as a prompt engineer responsible for automation
of Java Unit Test cases and a custom document parser
using Gen-AI model with Langchain framework.

Generative AI ToolsProblem SolvingEnglishTechnical DocumentationPresentationsJSON+30

Azure ETL Developer

Jan 2023 – Sep 2024 · 1 yr 8 mos · Hybrid

Project: Continuum Control Plane (CCP) – Multi-cloud solution for cloud security analysis and alerting.
Role: Azure ETL Engineer, contributing to a multi-cloud security analysis and alerting solution.
Key Achievements:
Designed and implemented efficient ETL pipelines on Microsoft Azure using Python and Azure Functions.
Created custom Rest APIs for client deployed on Azure API Management.
Technical Skills & Responsibilities:
Azure Data Factory & Data Lake – ETL development & optimization.
Python & Azure Functions – Serverless ETL automation, Rest API creation.
Team Leadership: Led a team of four, driving project success and collaboration.

Problem SolvingEnglishTechnical DocumentationProject PlanningPresentationsJSON+34

Senior Data Engineer

Promoted

Dec 2021 – Aug 2023 · 1 yr 8 mos · Hybrid

Projects: IPSP – Next-Gen ETL Solution for Smart Policing
Role: Senior Data Engineer, led a team of two.
Designed, developed, and automated ETL pipelines on Amazon AWS.
Optimized data processing efficiency by 93.33% using parallel Glue ETL jobs with Airflow DAGs.
Reduced AWS S3 storage costs by 60% and decreased bucket size by over 70% through file optimization.
Improved AWS Athena query performance by optimizing file partitioning.
Achieved significant cost savings and improved project performance.
Key Achievements:
Successfully implemented IPSP ETL solution.
Awarded Accenture "Trailblazer" for innovation and "Best Software Team."
Certifications:
AWS Certified Data Analytics – Specialty (Aug 2023)
AWS Certified Developer – Associate (Apr 2021)
Data Architect Associate – Accenture Internal (May 2022)
Technical Skills:
Data Engineering: ETL pipeline design, data optimization, data quality.
Cloud Technologies: AWS (Glue, Lambda, Kinesis Firehose, etc.), Databricks Delta Lake.
Data Formats: GDELT, Ethereum Blockchain, Swift Financial records, parquet files.
Tools: Apache Airflow, MySQL, Tableau, AWS QuickSight, Docker, Linux.
Data Analysis: SQL queries, custom dashboards for decision-making.
Leadership: Led and managed a team, driving project success and innovation.

Apache AirflowProblem SolvingEnglishTechnical DocumentationDatabasesSQL+57

Application Development Analyst

Sep 2020 – Dec 2021 · 1 yr 3 mos · Hybrid

Problem SolvingTechnical DocumentationSQLAmazon Web Services (AWS)JSONAWS Lambda+31

Freelance

Professional Freelancer

Aug 2023 – Dec 2025 · 2 yrs 4 mos · Remote

# Project: Enterprise Cloud & AI Solutions for Healthcare and Energy Clients
# Role: Python Backend & Cloud Migration Engineer (Freelance)
# Key Achievements:
+ Designed and deployed LLM-powered applications for clinical document summarization, medical chatbots, and automated helpdesk support.
+ Successfully led a large-scale Azure-to-AWS cloud migration, ensuring performance, availability, and security SLAs.
+ Developed and delivered scalable APIs for GenAI workflows, improving system modularity and performance.
+ Automated enterprise workflows (ServiceNow, Active Directory) with event-driven architectures, reducing manual overhead.
+ Integrated AI-driven pipelines (medical imaging, knowledge workflows) into production-ready cloud environments.
# Technical Skills & Responsibilities:
Backend Development: Python, FastAPI, REST APIs, AWS Lambda, API Gateway
Cloud & Migration: AWS (EC2, S3, VPC, IAM, Lambda, EventBridge, SNS, SQS), Azure, Cloud Security, Networking
AI/LLM Integration: LangChain, Hugging Face, OpenAI APIs, GenAI workflow orchestration
Automation: Event-driven architectures, workflow automation with AWS services
DevOps Practices: CI/CD setup on AWS, Jenkins integration, containerization (Docker, Kubernetes), cloud security & monitoring

Generative AIFastAPIpandasPython (Programming Language)JavaScriptJSON+11

Cynergylabs.ai

Professional Freelancer

Aug 2023 – Aug 2024 · 1 yr · India · Remote

Build the entire backend service of the website.
Server-less architecture using AWS Lambda, S3, IAM, SQS Queue, SSM Parameter Store, etc
CI/CD deployment setup on AWS platform. Jenkins integration done.
Built dashboards using Athena data and Quick Sight

GitlabProblem SolvingEnglishTechnical DocumentationDatabasesAmazon QuickSight+48