Priya Banerjee
Data Engineer | LWD 18th SEP | SQL | ADF | ADB | ETL | Python | Power BI | Data Modelling | Pipeline Development | EX- TCSer
- Role
- Software Engineer at Tech Mahindra
- Location
- Kolkata, WB, IN
- LinkedIn followers
- 500 followers
About Priya Banerjee
I’m a results-driven Data Analyst and Software Engineer with 3.5+ years of experience transforming complex data into clear, actionable insights. I bring a strong foundation in Python, SQL, Power BI, and Java, along with a growing interest and knowledge in Azure Data Factory and PySpark to build scalable, modern data solutions.I’ve worked on designing and optimizing systems that power decision-making — from integrating complex architectures to developing efficient data workflows. My approach combines analytical thinking, performance tuning, and a data-first mindset to solve real-world business problems.Beyond coding and dashboards, I’m passionate about storytelling through data. Whether it\'s creating intuitive reports, defining key business metrics, or uncovering hidden trends, I love turning raw data into meaningful narratives that drive impact. Areas of Interest:• Data Engineering & Analytics• Business Intelligence & Dashboards• Cloud Data Pipelines (ADF, PySpark)• Performance Optimization & System DesignLet’s connect if you’re working on something data-driven or innovative — or if you\'re just as obsessed with clean dashboards and optimized pipelines as I am!
Experience
Software Engineer
Oct 2023 — Present · Kolkata, IN
Client Name - IFSo Successfully adopted IFS Cloud technology stack, actively participating in multiple projects; accelerated project timelines by 20% and delivered on-time, high-quality solutions. o Worked extensively on data analysis and dashboard creation using tools like SQL, Python, and IFS Report Designer Studio and Supported reporting and visualization using Power BI, enabling leadership to track KPIs and project performance in real-time.o Worked with PySpark to process large datasets in distributed computing environments for client-facing projects and performed data cleaning and transformation.o Gained exposure to cloud-based data engineering tools, including Azure Data Factory, to orchestrate data workflows and enable seamless integration across systems. Also contributing to efforts in data normalization, schema design and automated data pipelines.
Education
MCKV Institute of Engineering
Bachelor of Technology - BTech
2017 — 2021
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