Abhishek Singh

Data Engineer

Pune, Maharashtra, India6 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in designing scalable ETL pipelines.
Proficient in modern cloud technologies, especially AWS.
Contributed to a SaaS product with 5600+ daily users.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and SaaS solutions.

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Skills

Core Skills

Etl PipelinesAwsFull Stack DevelopmentSaas

Other Skills

AWS CloudWatchAWS GlueAWS LambdaAmazon DynamodbAmazon Elastic BeanstalkAngularAngularJSApache SparkAutomic automationBootstrapCascading Style Sheets (CSS)DatabricksFastAPIFlaskHTML

About

Key skills: ETL Pipelines | Python | SQL | PySpark | Spark SQL | Scala | AWS | Data Warehousing | Batch | Cloud | Data Modelling | Databricks | Snowflake | Kafka | Cross-functional | Agile | Quicksight | AWS lambda | amazon s3 | Amazon EMR | Amazon EC2 | AWS Glue | AWS cloudformation Data Engineer with 3.7 years of experience in the Banking and Financial Services (BFS) domain, with a strong focus on processing and managing data related to ACH, escrow, merchant services, IOLTA, and treasury management. Experienced in designing and implementing scalable ETL pipelines and data workflows using Python, SQL, PySpark, Spark SQL, Hive, Hadoop, and Databricks. Proficient in modern cloud technologies, including AWS services such as Lambda, S3, Glue, EMR, EC2, CloudFormation, SQS, and SNS. Skilled in Snowflake for data warehousing and Automic and Jenkins for workflow automation. Known for delivering high-performance, reliable data solutions that drive operational efficiency and support timely, data-driven decision-making across teams. I was also a part of my college technical team - Team ERP which works on SaaS Product (EASY) built by the only students. EASY is an online-based solution having 5600+ daily active users.

Experience

Cognizant

2 roles

Associate

Dec 2021 – Present · 4 yrs 3 mos · Pune, Maharashtra, India

● Maintaining 30+ Databricks ETL jobs related to BFS data.
● Managed the daily operations of the Refinery application, including development, execution, and monitoring of 180+ batch jobs. Ensured reliability and business continuity by optimising Spark SQL logic and implementing robust error-handling and logging mechanisms using AWS CloudWatch and Automic Automation.
● Designed and managed workflows with Python, Pandas, PySpark, and Snowflake.
● Updated and tested Spark SQL logic for various metrics with robust deployment strategies.
● Conducted RDS vs. Data Lake analysis, identifying inconsistencies and updating logic.
● Built Lambda functions and Glue scripts for migration aligned with new data compliance policies.
● Worked with the MLASS (Machine Learning Library as a Service) team to co-develop reusable automation modules, including a bulk Salesforce case creation utility to streamline team workflows and accelerate platform adoption.

DatabricksSpark SQLAWS CloudWatchPythonPandasPySpark+5

Full Stack Developer Intern

Mar 2021 – Aug 2021 · 5 mos · Noida, Uttar Pradesh, India · Remote

● Participated in Cognizant’s CDE internship program, focusing on full-stack development.
● Gained hands-on experience with Angular, TypeScript, Spring Boot, REST APIs, Hibernate, Microservices, SQL, and AWS.
● Built frontend and backend components for various internal use cases.

AngularTypeScriptSpring BootREST APIsHibernateMicroservices+3

Team erp

2 roles

Senior Frontend Developer Intern

Aug 2019 – Mar 2021 · 1 yr 7 mos · Ghaziabad, Uttar Pradesh, India

Team of 18-20 interns working on the SaaS Product providing the ability to develop, manage and monitor the SaaS product with Industrial processes.
Developed the system for real-time sensing and analysis of data generated in the industrial process reducing unnecessary paperwork up to 50%. We have done everything right from the SRS discussion to the development of the product.
EASY (SaaS Product) is an online-based solution having 5600+ daily active users which include various modules like marks monitoring system, attendance management system, hostel management system, etc.

SaaS Product DevelopmentReal-time Data AnalysisSaaS

Frontend Developer Intern

Jul 2018 – Jul 2019 · 1 yr · Ghaziabad, Uttar Pradesh, India

Team of 18-20 interns working on the SaaS Product providing the ability to develop, manage and monitor the SaaS product with Industrial processes.
Developed the system for real-time sensing and analysis of data generated in the industrial process reducing unnecessary paperwork up to 50%. We have done everything right from the SRS discussion to the development of the product.

SaaS Product DevelopmentReal-time Data AnalysisSaaS