Akhil Bansal — DevOps Engineer

With over 12 years of experience in IT, I specialize in data engineering—driving complex data initiatives and building end-to-end, scalable and optimized data architectures within the big data ecosystem. I have a proven track record of delivering high-quality, scalable production-grade data products by leveraging agile delivery practices and maintaining a solution-oriented mindset. I have successfully led and delivered impactful data initiatives across the financial, automotive, insurance and retail domains, enabling organizations to unlock the value of data, make informed decisions and improve operational efficiency. My technical expertise spans a wide range of tools, technologies and platforms including: Technologies m : Big Data, Hadoop, Spark, Databricks, Delta Tables, Data Architecture, Data Modelling, Hive, HDFS, Kafka, Spark Streaming, PySpark, AWS EMR, AWS S3, Azure Data Lake, Databricks Unity Catalog, Feature Store, NoSQL, MongoDB, Cassandra, AWS Athena, Apache Iceberg, Snowflake, Pivotal Cloud Foundry, Sqoop, Flume, Airflow, Oozie, Control M, Cloudera, Hortonworks, Teradata, PostgreSQL, Impala, Apache Kudu, Rest API, Unix, Linux, Mainframes, DB2, Git, Jenkins (CI/CD), Drone (CI/CD), SingleStore, Splunk, Alation, Grafana, Microsoft Power BI, Prompt Engineering, RAG, Generative AI, MLOps Programming Languages : Scala, SQL, Python, Java, Shell Scripting Cloud : AWS, Microsoft Azure SDLC : Agile, Waterfall I am passionate about blending deep technical expertise with strategic leadership to drive data-driven transformations, build resilient data systems and deliver meaningful business value.

Stackforce AI infers this person is a Data Engineering expert in the Fintech and SaaS industries.

Location: Bengaluru, Karnataka, India

Experience: 12 yrs 2 mos