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Data Integration & Big Data Specialist | Talend, Spark, Airflow, AWS Expert I am a seasoned Data Integration and Big Data Specialist with over 9 years of experience at Sopra Steria, delivering cutting-edge solutions using Hadoop, Talend, Spark, Airflow, and cloud technologies. My expertise lies in designing, implementing, and optimizing robust data pipelines and systems to handle complex business requirements. Key Strengths & Skills Data Engineering Expertise: Proficient in processing large datasets, both structured and semi-structured, with advanced Spark performance tuning to maximize efficiency. Cloud Specialist: Extensive experience in AWS services, including Redshift, S3, EMR, EC2, and Lambda, ensuring scalable and secure data processing. ETL Mastery: Designed and developed highly efficient Talend jobs for ETL processes, with a focus on performance optimization and scheduling in EC2. Orchestration & Automation: Expert in Apache Airflow for orchestration, designing complex DAGs, and automating data validations using shell scripting. CI/CD Implementation: Skilled in implementing CI/CD pipelines using Jenkins, streamlining deployment processes for enhanced efficiency. Cross-System Data Sync: Expertise in synchronizing data between AWS Redshift and Netezza. Notable Achievements Spark Optimization: Successfully tuned Spark jobs for large-scale data processing on Amazon EMR clusters, achieving significant performance improvements. Automation Initiatives: Designed and automated complex data validation frameworks, reducing manual intervention and increasing accuracy. Client Collaboration: Participated in sprint planning meetings, design discussions, and user story clarifications, ensuring smooth development and testing phases. Production Deployment: Led the deployment of Talend and Spark jobs in production clusters with meticulous configuration and monitoring. Education & Certifications B.Tech - Information Technology With a passion for solving data challenges and a proven track record of delivering impactful solutions, I am ready to contribute to your project with efficiency and precision. Let’s collaborate to turn your vision into reality!

Prudent Cloud Data Engineer having 7+ year of experience in developing, maintaining and automating Data Engineering solutions using Microsoft Azure cloud technologies and, using languages like Python and R. Solving business problems end -to- end. Agentic AI LLM Models Microsoft Fabric Power Automate Power Apps Power BI Azure Data Factory Databricks SQL

My expertise: - Python and ETL (Scripting/Scraping/Data Transformation) - AWS Consulting and Development - Databases (Consulting/Data Management/Data Migration/Database Development) - SAP HANA (Consulting/Private Cloud Management and Migration/HANA Training) I have experience mostly in backend and database development. However, I can do frontend development as well. I have 5 years of experience developing in AWS environment. I have good know-how of all things related to software development and versatile in Linux command line. Even though Python is my preferred language of choice, I can also work on almost all most popular languages.

I help businesses build reliable ETL pipelines, automate data workflows, and develop Python backend solutions that are scalable, efficient, and easy to maintain. I'm a Python Data Engineer with 4+ years of experience working with healthcare and utility organizations. I've built ETL pipelines, automated business processes, designed databases, developed backend applications, and created reporting solutions that help businesses process data more efficiently and reduce manual work. My expertise includes Python, PostgreSQL, SQL Server, ETL development, workflow automation, Django, Flask, FastAPI, REST APIs, data processing, web scraping, and database design. Here's how I can help: • Build ETL pipelines to extract, transform, and load data from APIs, databases, Excel, CSV, PDFs, and websites • Design, optimize, and maintain PostgreSQL and SQL Server databases • Develop secure and scalable backend applications using Python, Django, Flask, or FastAPI • Build REST APIs and integrate third-party services • Automate repetitive business processes using Python • Clean, transform, validate, and process large datasets for reporting and analytics • Build reporting systems and data processing solutions for business operations • Develop automation scripts for data extraction and workflow management I focus on writing clean, well-structured, and maintainable code that performs reliably in production. Whether I'm building a new system or improving an existing one, my goal is to deliver solutions that are scalable, efficient, and easy to support over time. I believe good communication is just as important as good code. I keep clients updated throughout the project, deliver work on time, and always aim to build long-term working relationships. If you're looking for someone who can build reliable ETL pipelines, automate workflows, optimize databases, or develop Python backend applications, I'd be happy to discuss your project and help you find the right solution.

⚡ Your data is scattered, hard to collect, or stuck in manual reports - I fix that. I’m a 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗘𝗧𝗟 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿, 𝗮𝗻𝗱 𝗕𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 with 𝟲+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 and 𝟰,𝟯𝟬𝟳 + 𝗨𝗽𝘄𝗼𝗿𝗸 𝗵𝗼𝘂𝗿𝘀 across 𝗱𝗮𝘁𝗮 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴, 𝗘𝗧𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴, 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, and 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀. I help businesses collect data from websites, APIs, spreadsheets, databases, and cloud systems, then clean, transform, model, store, analyze, and visualize it so teams can make faster and more confident decisions. Whether you need 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴, 𝗱𝗮𝘁𝗮 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗘𝗧𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀, 𝗟𝗼𝗼𝗸𝗲𝗿 𝗦𝘁𝘂𝗱𝗶𝗼 𝗿𝗲𝗽𝗼𝗿𝘁𝘀, 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴, or 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, I focus on building practical, scalable, and maintainable solutions that reduce manual work and improve reporting accuracy. 𝗪𝗵𝗮𝘁 𝗜 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 🔹 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 – websites, directories, marketplaces, online platforms, public sources, APIs, and business datasets 🔹 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗘𝗻𝗿𝗶𝗰𝗵𝗺𝗲𝗻𝘁 – structured datasets, lead lists, price monitoring, missing-field enrichment, CSV, JSON, Excel, SQL, Airtable, and Snowflake-ready outputs 🔹 𝗘𝗧𝗟 𝗮𝗻𝗱 𝗘𝗟𝗧 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 – extraction, transformation, validation, loading, scheduled updates, and automated data feeds 🔹 𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 – Snowflake, Redshift, Azure Synapse, MS SQL, PostgreSQL, MySQL, Databricks, and cloud-based reporting models 🔹 𝗕𝗜 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 – Power BI, Looker Studio, Tableau, Excel, Google Sheets, KPI dashboards, executive reports, and scorecards 🔹 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 – fact/dimension models, DAX measures, clean relationships, analytical layers, and business-ready reporting datasets 🔹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python scripts, Power Automate, MS Flow, Azure Logic Apps, scheduled refreshes, and automated reporting workflows 🔹 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 – duplicate checks, missing value handling, standardization, reconciliation, and clean final outputs 🔹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 – turning raw data into practical analysis for pricing, sales, marketing, finance, operations, and customer behavior 𝗣𝗿𝗼𝘃𝗲𝗻 𝗪𝗼𝗿𝗸 / 𝗞𝗲𝘆 𝗔𝗿𝗲𝗮𝘀 📊 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗮𝗻𝗱 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 – built dashboards for survey analysis, operations reporting, client reporting, Excel-based reporting, and performance tracking. 🔄 𝗘𝗧𝗟 𝗮𝗻𝗱 𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 – worked on ETL workflows using Azure Data Factory, SQL, Python, PySpark, AWS Glue, Redshift, and cloud data platforms. 🧮 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 – structured raw data into clean reporting models, analytical layers, and BI-ready datasets. 🕸️ 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 – collected and prepared structured data from websites, APIs, online platforms, and business sources. 🎓 𝗟𝗠𝗦 𝗮𝗻𝗱 𝗘𝗱𝗧𝗲𝗰𝗵 𝗗𝗮𝘁𝗮 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 – supported learning platform data workflows, reporting, and analytics for LMS and e-learning platforms. 🌍 𝗧𝗿𝗮𝘃𝗲𝗹 𝗮𝗻𝗱 𝗣𝗼𝗿𝘁𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 – worked with portal-based data workflows and reporting needs for travel and business platforms. ⚙️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 – automated recurring reports, data refreshes, manual spreadsheet workflows, and operational reporting processes. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 / 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ⚙️ 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, SQL, PySpark, DAX, Advanced Excel, Google Sheets Functions ⚙️ 𝗕𝗜 / 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴: Power BI, Looker Studio, Tableau, Power Apps, Excel, Google Data Studio ⚙️ 𝗘𝗧𝗟 / 𝗘𝗟𝗧: SSIS, Azure Data Factory, Synapse Pipelines, AWS Glue, Informatica, Data Kitchen ⚙️ 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮: Apache Spark, Azure Databricks, PySpark ⚙️ 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀: Snowflake, Redshift, Azure Synapse, MS SQL, PostgreSQL, MySQL ⚙️ 𝗖𝗹𝗼𝘂𝗱: Microsoft Azure, AWS, GCP ⚙️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Power Automate, MS Flow, Azure Logic Apps, Python scripts ⚙️ 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Google Analytics, AWS SageMaker, Jupyter Notebook, business intelligence, data assurance ⚙️ 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: validation, documentation, scheduled refreshes, reporting workflows 𝗪𝗵𝗼 𝗜 𝗪𝗼𝗿𝗸 𝗕𝗲𝘀𝘁 𝗪𝗶𝘁𝗵 ✅ Businesses needing web scraping, data extraction, or automated data feeds ✅ Teams moving from manual spreadsheets to cloud-based reporting systems ✅ Companies 𝗡𝗲𝘅𝘁 𝗦𝘁𝗲𝗽 𝗡𝗲𝘅𝘁 𝗦𝘁𝗲𝗽 📩 Invite me to your job - I’ll clean, automate, and visualize your data.

Having 4+ years of experience as a Business Intelligence developer. Proficient in Power BI, SQL,SSIS(SQL Server Integration Services),SSMS(SQL Server Management Studio),SSAS(SQL Server Analysis Services) in ETL operations, data modeling, data visualizations, and data analysis Data Quality,