Manikant Goutam

Software Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience

Key Highlights

5+ years of experience in data engineering.
Expertise in Apache Spark and AWS technologies.
Proven ability to optimize data pipelines for performance.

Stackforce AI infers this person is a Data Engineering expert in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringApache SparkApache AirflowAmazon RedshiftData AnalyticsCloud ComputingData ScienceKnowledge ManagementCloud Services

Other Skills

AWS CloudFormationAWS LambdaAirflowAmazon CloudWatchAmazon Relational Database Service (RDS)Amazon S3Analytical SkillsAnsibleApacheApache KafkaArchitectureAugmented Reality (AR)BashBig Data AnalyticsBusiness Objects Data Integrator

About

Senior Data Engineer with 5+ years of experience delivering scalable, high-performance data platforms across Big Data and cloud ecosystems. Proven expertise in Apache Spark, PySpark, AWS EMR, Glue, Athena, Airflow, and DataLake architectures to design, deploy, and optimize end-to-end data pipelines. Strong background in data modeling, governance, and quality frameworks, enabling secure and reliable data for business-critical use cases. Experienced in Audeince data engineering, including market reference data, indices, and analytics, aligning technology with business outcomes. Effective collaborator who translates business needs into data-driven solutions, with hands-on leadership in mentorship, Agile delivery, and cross-functional teamwork. Recognized for building future-ready systems that improve decision-making, streamline operations, and drive measurable impact. With an MCA from NIT Calicut, my foundation in Computer Science underpins my proficiency in managing complex data workflows using technologies like Airflow and Spark.

Experience

5 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

9 mos

Current Experience

Epam systems

Senior Software Engineer - LSEG

Sep 2025 – Present · 9 mos · Bangalore - Remote · Remote

Client - LSEG (London Stock Exchange Group) - Development Team Lead
Managing development of Data Ingestion for Indexation Finance Data.
Leading the Development of Migration Project.
Handling the Spark Development with PySpark Implementation.
Designing Data Orchestration using Airflow.
Owning the data pipeline-lifecycle, developing, and Optimization.

Extract, Transform, Load (ETL)Data LoadingData EngineeringPySparkApache SparkApache Airflow

Nielsen

Sr. Software Engineer - Data Engineering

Jun 2023 – Aug 2025 · 2 yrs 2 mos · Bengaluru, Karnataka, India · Remote

I spearheaded the aggregation of viewership data for campaigns, transforming it into actionable insights for strategic decision-making.
Utilized Airflow, EMR, Spark, and prestoDB for pipeline management and workflow optimization.
Managed multiple Airflow DAGs to ensure efficient data processing and analysis.
Leveraged cutting-edge big data technologies to refine audience measurement methodologies and optimize audience measurement models.

Data EngineeringCloud ComputingContinuous Integration and Continuous Delivery (CI/CD)GitHubPySparkData Pipelines+28

Autodesk

Software Engineer 2-Data Engineering

Aug 2022 – Jun 2023 · 10 mos · Bengaluru, Karnataka, India

Analyzed data using ETL process and warehousing on AWS Redshift for end users/UI.
Utilized AWS, SQL, and Matillion tools to streamline data engineering processes.

Data EngineeringAmazon RedshiftContinuous Integration and Continuous Delivery (CI/CD)GitHubData PipelinesAirflow+23

Idfc first bank

Big Data Engineer

Jan 2022 – Aug 2022 · 7 mos · Bengaluru, Karnataka, India

Managed Big Data Processing and Data Pipeline in DataLake Project at IDFC FIRST Bank.
Automated workflows and monitored report systems using on-prem spark cluster for job submission.

Amazon RedshiftBusiness Objects Data IntegratorPySparkData PipelinesAirflowProblem Solving+25

Zee entertainment enterprises limited

3 roles

SDE-I

May 2021 – Jan 2022 · 8 mos

Developed Big Data Processing and Workflow Automation projects including Audience Builder and HiPi Data Analytics at Zee Entertainment Enterprises Limited.
Implemented Customer Data Enrichment Platform and Automation solutions using AWS, Linux, Kafka, Flink, Apache Spark, Docker, and Python.
Contributed to the architecture and deployment of Cloud-based solutions for data processing and analysis in the zee5 project.

Data EngineeringAmazon RedshiftContinuous Integration and Continuous Delivery (CI/CD)GitHubData PipelinesAirflow+27

Product Engineer

Aug 2020 – May 2021 · 9 mos

Developed automation scripts for Audience Builder and HiPi Data Analytics projects.
Designed product solutions and architecture for cloud-based data processing and big data analysis.
Deployed solutions using AWS, Linux, Kafka, Flink, Apache Spark, Docker, and Python.

Data EngineeringContinuous Integration and Continuous Delivery (CI/CD)Data PipelinesAirflowProblem SolvingRDBMS+21

Product Engineer

Feb 2020 – Aug 2020 · 6 mos

Developed and deployed product solutions for Zee5 project using AWS, Linux, Kafka, Flink, Apache Spark, Docker, and Python.
Conducted data processing and big data analysis to optimize performance and enhance user experience.
Collaborated with cross-functional teams to ensure successful engineering and deployment of projects.

Data EngineeringData ScienceContinuous Integration and Continuous Delivery (CI/CD)Data PipelinesAirflowProblem Solving+26

Linuxworld informatics pvt ltd

Trainee

May 2019 – Jul 2019 · 2 mos · Jaipur

Implemented Industry 4.0 technologies like DevOps, AR, ML, IoT, Big Data, and Cloud Computing.
Developed a cloud computing cluster with SAAS, StAAS, PAAS, and IAAS features.
Automated Hadoop deployment on VMs and Docker containers using Ansible scripts.
Automated deployment to AWS using Ansible scripts.

Data StructuresComputer ScienceProblem SolvingKnowledge Management

Clubstack

Co-Founder and Former Executive

Jul 2018 – Jan 2020 · 1 yr 6 mos · National Institute of technology, Calicut

Established and led ClubStack at NIT Calicut, offering classes on cutting-edge technologies like DevOps, Cloud Computing, and Big Data to prepare students for the IT industry.
Organized workshops on AWS, Linux, Docker, and Ansible, providing hands-on experience to students in the future of technology.
Collaborated with industry experts to bring real-world insights to the classroom, enhancing students' practical skills for their careers.

Data StructuresComputer ScienceKnowledge ManagementCloud Services