Hi, I’m Ankit, a Senior Data Engineer at Société Générale with hands-on experience designing and building scalable data platforms that power analytics, reporting, and AI-driven insights. I specialize in developing end-to-end data engineering solutions using modern big data ecosystems, cloud technologies, and distributed processing frameworks. My work focuses on building reliable data pipelines, optimizing data processing, and enabling organizations to make data-driven decisions at scale. I have strong expertise in Apache Spark, Kafka, Hadoop, Hive, Snowflake, and Delta Lake, along with programming experience in Scala, Python (PySpark, Pandas), and Java. I also work extensively with cloud platforms such as Microsoft Azure (Data Factory, Databricks, Data Lake, Synapse) and Google Cloud Platform (BigQuery, Pub/Sub, Dataflow) to design modern, cloud-native data architectures. I am also Certified in Snowflake and Databricks, which strengthens my expertise in lakehouse architectures, distributed data processing, and modern data warehousing solutions. Beyond my professional work, I enjoy mentoring aspiring data engineers and professionals preparing for tech interviews. I help candidates improve their resumes, interview strategies, and technical fundamentals so they can confidently approach opportunities in the data engineering field. If you're looking to break into Data Engineering, improve your resume, or prepare for technical interviews, I’d be happy to share practical guidance and real-world insights from the industry. 🚀 My goal is simple: help you build a strong profile, avoid common mistakes, and accelerate your tech career.