Anish Panda

Business Development Executive

Odisha, India1 yr experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable data pipelines.
Strong background in data engineering and analytics.
Proficient in Python and big data technologies.

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

Contact

aniiiishpanda@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringBig Data AnalyticsNatural Language ProcessingHigh Performance Computing

Other Skills

PySparkAzure DatabricksApache AirflowSQLTableauDockerKubernetesPython (Programming Language)PythonDeep LearningSpeech RecognitionAnalytical SkillsApplied Machine LearningNatural Language Processing (NLP)OpenMP

About

I’m currently pursuing the MS in Data Science and Management (MSDSM), a joint program by IIM Amritsar and IIT Ropar, where I’m deepening my expertise at the intersection of data, technology, and business strategy. With prior experience as a Data Engineer, I’ve worked on building and optimizing data pipelines, integrating diverse data sources, and ensuring data quality for analytics and decision-making. I’m particularly eager to apply data science concepts to strengthen data engineering solutions, enabling scalable and intelligent data-driven systems. Beyond academics, I’m an active member of the Placement Committee, where I engage with industry professionals and help foster meaningful corporate relations. Always open to conversations around data engineering, data science, and analytics-driven transformation.

Experience

1 yr

Total Experience

1 yr

Average Tenure

Current Experience

Indian institute of management amritsar

Junior Member MSDSM Placement Committee

Sep 2025 – Present · 8 mos

Indian institute of technology, ropar

Junior Member MSDSM Placement's Committee

Sep 2025 – Present · 8 mos

Braeon technocrats pvt ltd

Data Engineer

Aug 2023 – Aug 2024 · 1 yr · Remote

Designed and built scalable data pipelines using PySpark/Spark for batch and streaming use cases.
Performed data ingestion from diverse sources (SQL/NoSQL, APIs, flat files) into data lakes/data warehouses.
Implemented robust data validation and quality checks to ensure pipeline accuracy and reliability.
Worked on schema enforcement, partitioning, and optimization for faster query performance.
Developed ETL workflows using Airflow, ensuring task orchestration and dependency management.
Built and maintained Delta Lake / Snowflake data models for analytics and reporting teams.
Collaborated with analysts and stakeholders to define data requirements and KPIs.
Applied anonymization techniques to protect sensitive data while enabling EDA and analytics.
Automated data pipeline deployment using CI/CD tools like GitHub Actions or Jenkins.
Created dashboards and visualizations using Tableau for business stakeholders.

PySparkAzure DatabricksApache AirflowSQLBig Data AnalyticsTableau+3

Upwork freelancer jobs

Data Engineer

Aug 2022 – Jul 2023 · 11 mos · Remote

Built end-to-end ETL pipelines using PySpark, Pandas, and SQL to process structured and semi-structured data.
Ingested data from APIs, CSVs, and databases into cloud storage (AWS S3, GCP) for downstream analysis.
Designed and implemented data transformation workflows to clean, normalize, and enrich client datasets.
Created automated reporting dashboards using Tableau and python for clients in retail and logistics.
Optimized Spark jobs and queries to reduce processing time and cost on large datasets.
Set up data validation scripts to ensure quality and consistency across ingestion layers.

Python (Programming Language)PySparkBig Data AnalyticsData Engineering

Cognizant

Data Engineer Intern

Jan 2021 – Jul 2021 · 6 mos · Remote

Assisted in building and testing ETL pipelines using tools like PySpark and SQL for client data processing needs.
Supported data ingestion from various sources including CSV, APIs, and RDBMS into staging environments.
Participated in data cleaning, transformation, and normalization to prepare datasets for analytics use.

Python (Programming Language)PySparkBig Data AnalyticsSQLData Engineering

Defence research and development organisation (drdo)

Natural Language Processing Intern

May 2019 – Jun 2019 · 1 mo · On-site

Developed an indigenous speech recognition system to optimize the man machine interaction of Electro-Optical Tracking System (EOTS) by voice recognition and authentication through offline API using Sphinx. Developed a GUI using PySimpleGUI to integrate with the application

PythonDeep LearningSpeech RecognitionAnalytical SkillsApplied Machine LearningNatural Language Processing (NLP)+1

Cdacindia

High Performance Computing Intern

Dec 2018 – Jan 2019 · 1 mo · Pune, Maharashtra, India · On-site

Worked on optimizing Mathematical models using OpenMP and OpenMPI for parallel computation while learning about the high performance computing. Learnt about the interaction with SuperComputer
PARAM Shavak to implement parallel computing along with an introduction to CUDA programming.

PythonOpenMPMPIHigh Performance Computing