Headline

Google Cloud & AWS Certified Data Engineer | Data Engineer @BBY India

About

I am a passionate Data Engineer with over 4.5 years of experience, specializing in building scalable data pipelines, real-time analytics solutions, and cloud-based architectures. I hold a B.Tech in Computer Engineering and have always been fascinated by how data can drive business success. My certifications in Google Cloud (Professional Data Engineer), AWS, and Azure reinforce my expertise in cloud technologies. Throughout my career, I have worked with top organizations like JK Tech and Infosys, delivering high-performance ETL/ELT pipelines, optimizing data models, and implementing AI-driven analytics. I have hands-on experience with AWS, GCP, Spark, Airflow, Kafka, and data warehouses like Redshift, Snowflake, and BigQuery. I have also developed real-time data solutions for e-commerce, finance, and manufacturing industries, ensuring data-driven decision-making and business growth. My goal is to leverage cutting-edge cloud and big data technologies to create efficient, cost-effective, and insightful data ecosystems. I am particularly interested in real-time data streaming, machine learning-based analytics, and scalable data architectures. I look forward to collaborating with innovative teams that aim to transform raw data into actionable intelligence. 📩 Let’s connect! Reach out to me at rajendrapatel9283@gmail.com or visit my LinkedIn and GitHub to explore my projects.

Location

Bengaluru

AI stack

claude code

claude

codex

gemini

github copilot

grok

Work experience

Senior Data Engineer at Best Buy™ India, May 2025 - Present · 1 yr 4 mos, Bengaluru, Karnataka, India

Data Engineer at JK Tech, Dec 2022 - May 2025 · 2 yrs 6 mos, Hybrid, ** Customer 360 Data Model for a Global Testing & Precision Equipment Manufacturer ** - Building a unified data model by integrating data from multiple CRM and ERP systems (HubSpot, Salesforce, MS Dynamics, SAP). - Designed an ETL pipeline using GCP services, extracted data into GCS, and processed it via Dataflow into BigQuery. - Established relationships across entities (Company, Customer, Contact, Product, Deals, Leads, Opportunities, Orders), implemented primary/foreign keys, and created Looker Studio dashboards for marketing analytics. ** Credit Card Reporting for a Global Clinical Research Organization ** - Developed reports in Incorta and Spark SQL, including Credit Card Reconciliation, Outstanding Balances, Organizational Unit (OU) Changes, Leave of Absence (LOA), and Leavers. - Built materialized views, scheduled dependencies, and migrated reports to UAT. - Designed reconciliation logic, transaction tracking, and suspension flagging based on overdue cases. ** Supplier Order Forecasting PoC for a Leading UK Retailer ** - Automated data ingestion from SharePoint to GCS and built a Dataflow pipeline for BigQuery. - Processed full and incremental data loads with transformations like data type conversions and de-duplication. - Created Apache Superset dashboards for data quality, sales trends, and forecast accuracy. - Optimized query performance and reduced costs using materialized views. - Defined data models that were later used for AI-driven analytics. ** Data De-Duplication for a Leading US Retailer (Merger of Two National Chains) ** - Led a SKU-level data reconciliation project post-merger, using fuzzy matching to identify duplicate records. - Standardized a single SKU representation across brands, leveraging AWS RDS (Postgres), Glue, and Python scripts. Successfully delivered within three months, ensuring clean data integration for external vendor mapping.

Specialist Programmer at Infosys, Jun 2022 - Dec 2022 · 7 mos, Bengaluru, Karnataka, India · Hybrid, - Built system design architecture of data lake for payments,credits and decision making - Developed data pipeline to load data to third party SaaS Application(Salesforce) using AWS Appflow - Developed lambda functions to handle streaming data and offload it to AWS RDS - Developed automation script for building Cloud formation stack and data validation which reduced workload of the development team by 25%. - Performed data extraction from various source such as oracle, SQL server and ingested data into AWS S3 bucket - Worked on view creation as per business logic using pyspark in AWS Glue

Digital Specialist Engineer at Infosys, Sep 2020 - Jun 2022 · 1 yr 10 mos, Bengaluru, Karnataka, India · Hybrid, - Developed ETL pipelines for processing more then 1 TB data daily which allowed full 360 degree view of customers from product usage to back oce transactions - Transformed more than 50 ETL tables having complex logic which completed 40% of milestone work alone - Completed end to end data validation for 100+ tables - Developed an enhanced automation script which reduced 25% workload of development team - Owned UAT environment and tested more than 100+ table - Successfully deployed 3 milestone in production which helped business team to go live - Worked with various le format such as parquet, csv, tab, zip.

Intern at Rheo, Jan 2020 - Apr 2020 · 4 mos, Ahmedabad, Gujarat, India

Education

Bachelor of Technology - BTech, Computer Engineering, CHARUSAT