Mar 2024 – May 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · Remote

• Designed and deployed comprehensive Data Lake architectures using Azure Data Factory (ADF),
• PySpark, Databricks, and Azure Data Lake Storage (ADLS).
• Enhanced pipeline efficiency through advanced optimization techniques, resulting in significant
• performance improvements and cost savings.
• Demonstrated a strong commitment to writing modular, scalable, and bug-free code across multiple
• languages (SQL, Python). Proven track record of effective debugging and problem-solving to ensure
• robust and reliable data solutions.
• Actively collaborated with diverse stakeholders across the organization, taking complete ownership
• of deliverables. Facilitated smooth communication and alignment to drive project success and meet
• business objectives.
• Leveraged a wide array of big data technologies including Hadoop, Spark, Kafka, Hive. Applied these
• tools to solve complex data challenges and optimize data processing workflows.
• Utilized various file formats such as Delta Lake, Avro, Parquet, JSON, and CSV to support diverse data
• processing and storage requirements. Ensured compatibility and efficiency in data handling and transformation.
• Provided crucial support to Business Intelligence (BI) and Data Science teams by ensuring data is
• consumed in a secure and governed manner. Facilitated the creation of reliable data sources for
• advanced analytics and reporting.
• Earned certifications such as Data Engineering on Microsoft Azure (DP-203) validating expertise in
• big data and Azure technologies.

Apr 2022 – Mar 2024 · 1 yr 11 mos

• Spearheaded end-to-end data warehousing initiatives, encompassing extraction, transformation, and loading (ETL) of data from diverse banking source systems like trademodel, bkkg, mtmb, BCBS, etc., utilizing Informatica.
• Architected staging layers to facilitate source imaging and latest imaging, enabling data categorization and integration into standardized data models in Teradata SQL Assistant.
• Designed and implemented comprehensive data access layers based on business requirements outlined in High-Level Design (HLD) documents, ensuring efficient data retrieval for downstream applications.
• Collaborated seamlessly with the data lake team to leverage Teradata production data for Hadoop-based data lake development, employing PySpark for efficient data processing and analysis.
• Leveraged a wide array of Hadoop ecosystem tools including Scoop, Hive, Impala, HDFS, MapReduce, and Oozie for data acquisition, transformation, and loading, with a focus on PySpark for enhanced scalability and performance.
• Utilized Python scripts and Unix commands to streamline file transfer between edge nodes and HDFS, ensuring seamless data flow across functions.
• Provided valuable expertise in cross-functional collaboration, meeting business expectations, and delivering actionable insights from the data lake.
• Optimized SQL queries and data workflows, improving data processing
• efficiency by 30%.
• Collaborated with cross-functional teams to deliver solutions aligned with
• business requirements, resulting in improved data quality and usability.
• Possess strong analytical skills and experience working in Agile
• methodology.
• Led the Optimizations of code to the data warehouse, reducing query
• response times by 40%.

Mar 2021 – Apr 2022 · 1 yr 1 mo

• Project: Integrated Data Platform Enhancement
• Led a team in enhancing the Integrated Data Platform to streamline data processing and improve analytical capabilities.
• Implemented PySpark for parallelized data processing, resulting in a significant reduction in processing time and enhanced scalability.
• Designed and deployed optimized data pipelines, improving data accessibility and enabling real-time analytics.
• Collaborated with stakeholders to gather requirements, design data models, and deliver solutions aligned with business objectives.
• Conducted performance tuning and optimization of SQL queries, enhancing query efficiency and reducing resource utilization.

Dec 2020 – Jan 2021 · 1 mo · Bengaluru, Karnataka, India

Aug 2020 – Nov 2020 · 3 mos

• Completed the ADAPT prejoining training offered from Capgemini which includesTechnical(Core Java, SQL,PI/SQL, Web Development, Unix,etc).

Dec 2019 – Apr 2020 · 4 mos · Pune, Maharashtra, India

• Completed the ESD training of Zensar Technologies which includes soft Skills+Technical(Core Java, SQL,PI/SQL).